BB Squeeze - HighQToolsBBW Squeeze — HighQTools
As always, if anyone has any tips or additional features they'd like to see, feel free to reach out!
Overview
The BBW Percentile Squeeze highlights periods of exceptionally compressed volatility by measuring Bollinger Band Width (BBW) and ranking it within a rolling historical percentile. When BBW falls into the lowest portion of its own distribution, price is statistically “tight” relative to recent history—a condition that often precedes volatility expansion.
Instead of plotting an oscillator in a separate pane, this tool expresses information directly on the price chart by changing bar colors during squeeze conditions, keeping charts clean and execution-focused.
How It Works
Standard Bollinger Bands are calculated using a configurable length and standard deviation.
Band width is normalized and evaluated against a rolling lookback window.
The current width is converted into a percentile rank (0–100):
Lower percentile = tighter volatility
Higher percentile = expanded volatility
When the percentile drops below the user-defined threshold, the market is considered to be in a squeeze.
An optional RTH-only mode allows the percentile calculation to consider Regular Trading Hours bars only, which is especially useful for futures traders who want to ignore overnight volatility distortions.
Visual Signals
Squeeze Bars
Bars are recolored when BBW percentile falls below the selected threshold, indicating extreme compression.
Release Bar (optional)
The first bar exiting the squeeze can be highlighted separately, marking the resolution of compression.
No oscillator, no bands, no shapes—only context applied directly to price.
How to Use It
The squeeze itself is not a trade signal.
Squeeze conditions indicate stored energy—expect range expansion, not direction.
Focus on:
Market structure
Higher-timeframe context
Volume, delta, or acceptance/rejection
The release from squeeze often provides the best opportunity, especially when aligned with directional bias or structural breaks.
For best results, use this tool as a context filter alongside execution setups rather than as a standalone entry signal.
Recommended Settings
BB Length: 10
Std Dev: 2.0
Percentile Lookback: 200–300 bars
Squeeze Threshold: 5-10 percentile
RTH-only: Enabled for index futures
Disclaimer
This indicator is designed to provide context, not predictions. Always combine volatility information with sound risk management and a complete trading plan.
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Ultimate MACD [captainua]Ultimate MACD - Comprehensive MACD Trading System
Overview
This indicator combines traditional MACD calculations with advanced features including divergence detection, volume analysis, histogram analysis tools, regression forecasting, strong top/bottom detection, and multi-timeframe confirmation to provide a comprehensive MACD-based trading system. The script calculates MACD using configurable moving average types (EMA, SMA, RMA, WMA) and applies various smoothing methods to reduce noise while maintaining responsiveness. The combination of these features creates a multi-layered confirmation system that reduces false signals by requiring alignment across multiple indicators and timeframes.
Core Calculations
MACD Calculation:
The script calculates MACD using the standard formula: MACD Line = Fast MA - Slow MA, Signal Line = Moving Average of MACD Line, Histogram = MACD Line - Signal Line. The default parameters are Fast=12, Slow=26, Signal=9, matching the traditional MACD settings. The script supports four moving average types:
- EMA (Exponential Moving Average): Standard and most responsive, default choice
- SMA (Simple Moving Average): Equal weight to all periods
- RMA (Wilder's Moving Average): Smoother, less responsive
- WMA (Weighted Moving Average): Recent prices weighted more heavily
The price source can be configured as Close (standard), Open, High, Low, HL2, HLC3, or OHLC4. Alternative sources provide different sensitivity characteristics for various trading strategies.
Configuration Presets:
The script includes trading style presets that automatically configure MACD parameters:
- Scalping: Fast/Responsive settings (8,18,6 with minimal smoothing)
- Day Trading: Balanced settings (10,22,7 with minimal smoothing)
- Swing Trading: Standard settings (12,26,9 with moderate smoothing)
- Position Trading: Smooth/Conservative settings (15,35,12 with higher smoothing)
- Custom: Full manual control over all parameters
Histogram Smoothing:
The histogram can be smoothed using EMA to reduce noise and filter minor fluctuations. Smoothing length of 1 = raw histogram (no smoothing), higher values (3-5) = smoother histogram. Increased smoothing reduces noise but may delay signals slightly.
Percentage Mode:
MACD values can be converted to percentage of price (MACD/Close*100) for cross-instrument comparison. This is useful when comparing MACD signals across instruments with different price levels (e.g., BTC vs ETH). The percentage mode normalizes MACD values, making them comparable regardless of instrument price.
MACD Scale Factor:
A scale factor multiplier (default 1.0) allows adjusting MACD display size for better visibility. Use 0.3-0.5 if MACD appears too compressed, or 2.0-3.0 if too small.
Dynamic Overbought/Oversold Levels:
Overbought and oversold levels are calculated dynamically based on MACD's mean and standard deviation over a lookback period. The formula: OB = MACD Mean + (StdDev × OB Multiplier), OS = MACD Mean - (StdDev × OS Multiplier). This adapts to current market conditions, widening in volatile markets and narrowing in calm markets. The lookback period (default 20) controls how quickly the levels adapt: longer periods (30-50) = more stable levels, shorter (10-15) = more responsive.
OB/OS Background Coloring:
Optional background coloring can highlight the entire panel when MACD enters overbought or oversold territory, providing prominent visual indication of extreme conditions. The background colors are drawn on top of the main background to ensure visibility.
Divergence Detection
Regular Divergence:
The script uses the MACD line (not histogram) for divergence detection, which provides more reliable signals. Bullish divergence: Price makes a lower low while MACD line makes a higher low. Bearish divergence: Price makes a higher high while MACD line makes a lower high. Divergences often precede reversals and are powerful reversal signals.
Pivot-Based Divergence:
The divergence detection uses actual pivot points (pivotlow/pivothigh) instead of simple lowest/highest comparisons. This provides more accurate divergence detection by identifying significant pivot lows/highs in both price and MACD line. The pivot-based method compares two recent pivot points: for bullish divergence, price makes a lower low while MACD makes a higher low at the pivot points. This method reduces false divergences by requiring actual pivot points rather than just any low/high within a period.
The pivot lookback parameters (left and right) control how many bars on each side of a pivot are required for confirmation. Higher values = more conservative pivot detection.
Hidden Divergence:
Continuation patterns that signal trend continuation rather than reversal. Bullish hidden divergence: Price makes a higher low but MACD makes a lower low. Bearish hidden divergence: Price makes a lower high but MACD makes a higher high. These patterns indicate the trend is likely to continue in the current direction.
Zero-Line Filter:
The "Don't Touch Zero Line" option ensures divergences occur in proper context: for bullish divergence, MACD must stay below zero; for bearish divergence, MACD must stay above zero. This filters out divergences that occur in neutral zones.
Range Filtering:
Minimum and maximum lookback ranges control the time window between pivots to consider for divergence. This helps filter out divergences that are too close together (noise) or too far apart (less relevant).
Volume Confirmation System
Volume threshold filtering requires current volume to exceed the volume SMA multiplied by the threshold factor. The formula: Volume Confirmed = Volume > (Volume SMA × Threshold). If the threshold is set to 1.0 or lower, volume confirmation is effectively disabled (always returns true). This allows you to use the indicator without volume filtering if desired. Volume confirmation significantly increases divergence and signal reliability.
Volume Climax and Dry-Up Detection:
The script can mark bars with extremely high volume (volume climax) or extremely low volume (volume dry-up). Volume climax indicates potential reversal points or strong momentum continuation. Volume dry-up indicates low participation and may produce unreliable signals. These markers use standard deviation multipliers to identify extreme volume conditions.
Zero-Line Cross Detection
MACD zero-line crosses indicate momentum shifts: above zero = bullish momentum, below zero = bearish momentum. The script includes alert conditions for zero-line crosses with cooldown protection to prevent alert spam. Zero-line crosses can provide early warning signals before MACD crosses the signal line.
Histogram Analysis Tools
Histogram Moving Average:
A moving average applied to the histogram itself helps identify histogram trend direction and acts as a signal line for histogram movements. Supports EMA, SMA, RMA, and WMA types. Useful for identifying when histogram momentum is strengthening or weakening.
Histogram Bollinger Bands:
Bollinger Bands are applied to the MACD histogram instead of price. The calculation: Basis = SMA(Histogram, Period), StdDev = stdev(Histogram, Period), Upper = Basis + (StdDev × Deviation Multiplier), Lower = Basis - (StdDev × Deviation Multiplier). This creates dynamic zones around the histogram that adapt to histogram volatility. When the histogram touches or exceeds the bands, it indicates extreme conditions relative to recent histogram behavior.
Stochastic MACD (StochMACD):
Stochastic MACD applies the Stochastic oscillator formula to the MACD histogram instead of price. This normalizes the histogram to a 0-100 scale, making it easier to identify overbought/oversold conditions on the histogram itself. The calculation: %K = ((Histogram - Lowest Histogram) / (Highest Histogram - Lowest Histogram)) × 100. %K is smoothed, and %D is calculated as the moving average of smoothed %K. Standard thresholds are 80 (overbought) and 20 (oversold).
Regression Forecasting
The script includes advanced regression forecasting that predicts future MACD values using mathematical models. This helps anticipate potential MACD movements and provides forward-looking context for trading decisions.
Regression Types:
- Linear: Simple trend line (y = mx + b) - fastest, works well for steady trends
- Polynomial: Quadratic curve (y = ax² + bx + c) - captures curvature in MACD movement
- Exponential Smoothing: Weighted average with more weight on recent values - responsive to recent changes
- Moving Average: Uses difference between short and long MA to estimate trend - stable and smooth
Forecast Horizon:
Number of bars to forecast ahead (default 5, max 50 for linear/MA, max 20 for polynomial due to performance). Longer horizons predict further ahead but may be less accurate.
Confidence Bands:
Optional upper/lower bands around forecast show prediction uncertainty based on forecast error (standard deviation of prediction vs actual). Wider bands = higher uncertainty. The confidence level multiplier (default 1.5) controls band width.
Forecast Display:
Forecast appears as dotted lines extending forward from current bar, with optional confidence bands. All forecast values respect percentage mode and scale factor settings.
Strong Top/Bottom Signals
The script detects strong recovery from extreme MACD levels, generating "sBottom" and "sTop" signals. These identify significant reversal potential when MACD recovers substantially from overbought/oversold extremes.
Strong Bottom (sBottom):
Triggered when:
1. MACD was at or near its lowest point in the bottom period (default 10 bars)
2. MACD was in or near the oversold zone
3. MACD has recovered by at least the threshold amount (default 0.5) from the lowest point
4. Recovery persists for confirmation bars (default 2 consecutive bars)
5. MACD has moved out of the oversold zone
6. Volume is above average
7. All enabled filters pass
8. Minimum bars have passed since last signal (reset period, default 5 bars)
Strong Top (sTop):
Triggered when:
1. MACD was at or near its highest point in the top period (default 7 bars)
2. MACD was in or near the overbought zone
3. MACD has declined by at least the threshold amount (default 0.5) from the highest point
4. Decline persists for confirmation bars (default 2 consecutive bars)
5. MACD has moved out of the overbought zone
6. Volume is above average
7. All enabled filters pass
8. Minimum bars have passed since last signal (reset period, default 5 bars)
Label Placement:
sTop/sBottom labels appear on the historical bar where the actual extreme occurred (not on current bar), showing the exact MACD value at that extreme. Labels respect the unified distance checking system to prevent overlaps with Buy/Sell Strength labels.
Signal Strength Calculation
The script calculates a composite signal strength score (0-100) based on multiple factors:
- MACD distance from signal line (0-50 points): Larger separation indicates stronger signal
- Volume confirmation (0-15 points): Volume above average adds points
- Secondary timeframe alignment (0-15 points): Higher timeframe agreement adds points
- Distance from zero line (0-20 points): Closer to zero can indicate stronger reversal potential
Higher scores (70+) indicate stronger, more reliable signals. The signal strength is displayed in the statistics table and can be used as a filter to only accept signals above a threshold.
Smart Label Placement System
The script includes an advanced label placement system that tracks MACD extremes and places Buy/Sell Strength labels at optimal locations:
Label Placement Algorithm:
- Labels appear on the current bar at confirmation (not on historical extreme bars), ensuring they're visible when the signal is confirmed
- The system tracks pending signals when MACD enters OB/OS zones or crosses the signal line
- During tracking, the system continuously searches for the true extreme (lowest MACD for buys, highest MACD for sells) within a configurable historical lookback period
- Labels are only finalized when: (1) MACD exits the OB/OS zone, (2) sufficient bars have passed (2x minimum distance), (3) MACD has recovered/declined by a configurable percentage from the extreme (default 15%), and (4) tracking has stopped (no better extreme found)
Label Spacing and Overlap Prevention:
- Minimum Bars Between Labels: Base distance requirement (default 5 bars)
- Label Spacing Multiplier: Scales the base distance (default 1.5x) for better distribution. Higher values = more spacing between labels
- Effective distance = Base Distance × Spacing Multiplier (e.g., 5 × 1.5 = 7.5 bars minimum)
- Unified distance checking prevents overlaps between all label types (Buy Strength, Sell Strength, sTop, sBottom)
Strength-Based Filtering:
- Label Strength Minimum (%): Only labels with strength at or above this threshold are displayed (default 75%)
- When multiple potential labels are close together, the system automatically compares strengths and keeps only the strongest one
- This ensures only the most significant signals are displayed, reducing chart clutter
Zero Line Polarity Enforcement:
- Enforce Zero Line Polarity (default enabled): Ensures labels follow traditional MACD interpretation
- Buy Strength labels only appear when the tracked extreme MACD value was below zero (negative territory)
- Sell Strength labels only appear when the tracked extreme MACD value was above zero (positive territory)
- This prevents counter-intuitive labels (e.g., Buy labels above zero line) and aligns with standard MACD trading principles
Recovery/Decline Confirmation:
- Recovery/Decline Confirm (%): Percent move away from the extreme required before finalizing (default 15%)
- For Buy labels: MACD must recover by at least this percentage from the tracked bottom
- For Sell labels: MACD must decline by at least this percentage from the tracked top
- Higher values = more confirmation required, fewer but more reliable labels
Historical Lookback:
- Historical Lookback for Label Placement: Number of bars to search for true extremes (default 20)
- The system searches within this period to find the actual lowest/highest MACD value
- Higher values analyze more history but may be slower; lower values are faster but may miss some extremes
Cross Quality Score
The script calculates a MACD cross quality score (0-100) that rates crossover quality based on:
- Cross angle (0-50 points): Steeper crosses = stronger signals
- Volume confirmation (0-25 points): Volume above average adds points
- Distance from zero line (0-25 points): Crosses near zero line are stronger
This score helps identify high-quality crossovers and can be used as a filter to only accept signals meeting minimum quality threshold.
Filtering System
Histogram Filter:
Requires histogram to be above zero for buy signals, below zero for sell signals. Ensures momentum alignment before generating signals.
Signal Strength Filter:
Requires minimum signal strength score for signals. Higher threshold = only strongest signals pass. This combines multiple confirmation factors into a single filter.
Cross Quality Filter:
Requires minimum cross quality score for signals. Rates crossover quality based on angle, volume, momentum, and distance from zero. Only signals meeting minimum quality threshold will be generated.
All filters use the pattern: filterResult = not filterEnabled OR conditionMet. This means if a filter is disabled, it always passes (returns true). Filters can be combined, and all must pass for a signal to fire.
Multi-Timeframe Analysis
The script can display MACD from a secondary (higher) timeframe and use it for confirmation. When secondary timeframe confirmation is enabled, signals require the higher timeframe MACD to align (bullish/bearish) with the signal direction. This ensures signals align with the larger trend context, reducing counter-trend trades.
Secondary Timeframe MACD:
The secondary timeframe MACD uses the same calculation parameters (fast, slow, signal, MA type) as the main MACD but from a higher timeframe. This provides context for the current timeframe's MACD position relative to the larger trend. The secondary MACD lines are displayed on the chart when enabled.
Noise Filtering
Noise filtering hides small histogram movements below a threshold. This helps focus on significant moves and reduces chart clutter. When enabled, only histogram movements above the threshold are displayed. Typical threshold values are 0.1-0.5 for most instruments, depending on the instrument's price range and volatility.
Signal Debounce
Signal debounce prevents duplicate MACD cross signals within a short time period. Useful when MACD crosses back and forth quickly, creating multiple signals. Debounce ensures only one signal per period, reducing signal spam during choppy markets. This is separate from alert cooldown, which applies to all alert types.
Background Color Modes
The script offers three background color modes:
- Dynamic: Full MACD heatmap based on OB/OS conditions, confidence, and momentum. Provides rich visual feedback.
- Monotone: Soft neutral background but still allows overlays (OB/OS zones). Keeps the chart clean without overpowering candles.
- Off: No MACD background (only overlays and plots). Maximum chart cleanliness.
When OB/OS background colors are enabled, they are drawn on top of the main background to ensure visibility.
Statistics Table
A real-time statistics table displays current MACD values, signal strength, distance from zero line, secondary timeframe alignment, volume confirmation status, and all active filter statuses. The table dynamically adjusts to show only enabled features, keeping it clean and relevant. The table position can be configured (Top Left, Top Right, Bottom Left, Bottom Right).
Performance Statistics Table
An optional performance statistics table shows comprehensive filter diagnostics:
- Total buy/sell signals (raw crossover count before filters)
- Filtered buy/sell signals (signals that passed all filters)
- Overall pass rates (percentage of signals that passed filters)
- Rejected signals count
- Filter-by-filter rejection diagnostics showing which filters rejected how many signals
This table helps optimize filter settings by showing which filters are most restrictive and how they impact signal frequency. The diagnostics format shows rejections as "X B / Y S" (X buy signals rejected, Y sell signals rejected) or "Disabled" if the filter is not active.
Alert System
The script includes separate alert conditions for each signal type:
- MACD Cross: MACD line crosses above/below Signal line (with or without secondary confirmation)
- Zero-Line Cross: MACD crosses above/below zero
- Divergence: Regular and hidden divergence detections
- Secondary Timeframe: Higher timeframe MACD crosses
- Histogram MA Cross: Histogram crosses above/below its moving average
- Histogram Zero Cross: Histogram crosses above/below zero
- StochMACD: StochMACD overbought/oversold entries and %K/%D crosses
- Histogram BB: Histogram touches/breaks Bollinger Bands
- Volume Events: Volume climax and dry-up detections
- OB/OS: MACD entry/exit from overbought/oversold zones
- Strong Top/Bottom: sTop and sBottom signal detections
Each alert type has its own cooldown system to prevent alert spam. The cooldown requires a minimum number of bars between alerts of the same type, reducing duplicate alerts during volatile periods. Alert types can be filtered to only evaluate specific alert types (All, MACD Cross, Zero Line, Divergence, Secondary Timeframe, Histogram MA, Histogram Zero, StochMACD, Histogram BB, Volume Events, OB/OS, Strong Top/Bottom).
How Components Work Together
MACD crossovers provide the primary signal when the MACD line crosses the Signal line. Zero-line crosses indicate momentum shifts and can provide early warning signals. Divergences identify potential reversals before they occur.
Volume confirmation ensures signals occur with sufficient market participation, filtering out low-volume false breakouts. Histogram analysis tools (MA, Bollinger Bands, StochMACD) provide additional context for signal reliability and identify significant histogram zones.
Signal strength combines multiple confirmation factors into a single score, making it easy to filter for only the strongest signals. Cross quality score rates crossover quality to identify high-quality setups. Multi-timeframe confirmation ensures signals align with higher timeframe trends, reducing counter-trend trades.
Usage Instructions
Getting Started:
The default configuration shows MACD(12,26,9) with standard EMA calculations. Start with default settings and observe behavior, then customize settings to match your trading style. You can use configuration presets for quick setup based on your trading style.
Customizing MACD Parameters:
Adjust Fast Length (default 12), Slow Length (default 26), and Signal Length (default 9) based on your trading timeframe. Shorter periods (8,17,7) for faster signals, longer (15,30,12) for smoother signals. You can change the moving average type: EMA for responsiveness, RMA for smoothness, WMA for recent price emphasis.
Price Source Selection:
Choose Close (standard), or alternative sources (HL2, HLC3, OHLC4) for different sensitivity. HL2 uses the midpoint of the high-low range, HLC3 and OHLC4 incorporate more price information.
Histogram Smoothing:
Set smoothing to 1 for raw histogram (no smoothing), or increase (3-5) for smoother histogram that reduces noise. Higher smoothing reduces false signals but may delay signals slightly.
Percentage Mode:
Enable percentage mode when comparing MACD across instruments with different price levels. This normalizes MACD values, making them directly comparable.
Dynamic OB/OS Levels:
The dynamic thresholds automatically adapt to volatility. Adjust the multipliers (default 1.5) to fine-tune sensitivity: higher values (2.0-3.0) = more extreme thresholds (fewer signals), lower (1.0-1.5) = more frequent signals. Adjust the lookback period to control how quickly levels adapt. Enable OB/OS background colors for visual indication of extreme conditions.
Volume Confirmation:
Set volume threshold to 1.0 (default, effectively disabled) or higher (1.2-1.5) for standard confirmation. Higher values require more volume for confirmation. Set to 0.1 to completely disable volume filtering.
Filters:
Enable filters gradually to find your preferred balance. Start with histogram filter for basic momentum alignment, then add signal strength filter (threshold 50+) for moderate signals, then cross quality filter (threshold 50+) for high-quality crossovers. Combine filters for highest-quality signals but expect fewer signals.
Divergence:
Enable divergence detection and adjust pivot lookback parameters. Pivot-based divergence provides more accurate detection using actual pivot points. Hidden divergence is useful for trend-following strategies. Adjust range parameters to filter divergences by time window.
Zero-Line Crosses:
Zero-line cross alerts are automatically available when alerts are enabled. These provide early warning signals for momentum shifts.
Histogram Analysis Tools:
Enable Histogram Moving Average to see histogram trend direction. Enable Histogram Bollinger Bands to identify extreme histogram zones. Enable Stochastic MACD to normalize histogram to 0-100 scale for overbought/oversold identification.
Multi-Timeframe:
Enable secondary timeframe MACD to see higher timeframe context. Enable secondary confirmation to require higher timeframe alignment for signals.
Signal Strength:
Signal strength is automatically calculated and displayed in the statistics table. Use signal strength filter to only accept signals above a threshold (e.g., 50 for moderate, 70+ for strong signals only).
Smart Label Placement:
Configure label placement settings to control label appearance and quality:
- Label Strength Minimum (%): Set threshold (default 75%) to show only strong signals. Higher = fewer, stronger labels
- Label Spacing Multiplier: Adjust spacing (default 1.5x) for better distribution. Higher = more spacing between labels
- Recovery/Decline Confirm (%): Set confirmation requirement (default 15%). Higher = more confirmation, fewer labels
- Enforce Zero Line Polarity: Enable (default) to ensure Buy labels only appear when tracked extreme was below zero, Sell labels only when above zero
- Historical Lookback: Adjust search period (default 20 bars) for finding true extremes. Higher = more history analyzed
Cross Quality:
Cross quality score is automatically calculated for crossovers. Use cross quality filter to only accept high-quality crossovers (threshold 50+ for moderate, 70+ for high quality).
Alerts:
Set up alerts for your preferred signal types. Enable alert cooldown (default enabled, 5 bars) to prevent alert spam. Use alert type filter to only evaluate specific alert types (All, MACD Cross, Zero Line, Divergence, Secondary Timeframe, Histogram MA, Histogram Zero, StochMACD, Histogram BB, Volume Events, OB/OS, Strong Top/Bottom). Each signal type has its own alert condition, so you can be selective about which signals trigger alerts.
Visual Elements and Signal Markers
The script uses various visual markers to indicate signals and conditions:
- MACD Line: Green when above signal (bullish), red when below (bearish) if dynamic colors enabled. Optional black outline for enhanced visibility
- Signal Line: Orange line with optional black outline for enhanced visibility
- Histogram: Color-coded based on direction and momentum (green for bullish rising, lime for bullish falling, red for bearish falling, orange for bearish rising)
- Zero Line: Horizontal reference line at MACD = 0
- Fill to Zero: Green/red semi-transparent fill between MACD line and zero line showing bullish/bearish territory
- Fill Between OB/OS: Blue semi-transparent fill between overbought/oversold thresholds highlighting neutral zone
- OB/OS Background Colors: Background coloring when MACD enters overbought/oversold zones
- Background Colors: Dynamic or monotone backgrounds indicating MACD state, or custom chart background
- Divergence Labels: "🐂" for bullish, "🐻" for bearish, "H Bull" for hidden bullish, "H Bear" for hidden bearish
- Divergence Lines: Colored lines connecting pivot points when divergences are detected
- Volume Climax Markers: ⚡ symbol for extremely high volume
- Volume Dry-Up Markers: 💧 symbol for extremely low volume
- Buy/Sell Strength Labels: Show signal strength percentage (e.g., "Buy Strength: 75%")
- Strong Top/Bottom Labels: "sTop" and "sBottom" for extreme level recoveries
- Secondary MACD Lines: Purple lines showing higher timeframe MACD
- Histogram MA: Orange line showing histogram moving average
- Histogram BB: Blue bands around histogram showing extreme zones
- StochMACD Lines: %K and %D lines with overbought/oversold thresholds
- Regression Forecast: Dotted blue lines extending forward with optional confidence bands
Signal Priority and Interpretation
Signals are generated independently and can occur simultaneously. Higher-priority signals generally indicate stronger setups:
1. MACD Cross with Multiple Filters - Highest priority: Requires MACD crossover plus all enabled filters (histogram, signal strength, cross quality) and secondary timeframe confirmation if enabled. These are the most reliable signals.
2. Zero-Line Cross - High priority: Indicates momentum shift. Can provide early warning signals before MACD crosses the signal line.
3. Divergence Signals - Medium-High priority: Pivot-based divergence is more reliable than simple divergence. Hidden divergence indicates continuation rather than reversal.
4. MACD Cross with Basic Filters - Medium priority: MACD crosses signal line with basic histogram filter. Less reliable alone but useful when combined with other confirmations.
Best practice: Wait for multiple confirmations. For example, a MACD crossover combined with divergence, volume confirmation, and secondary timeframe alignment provides the strongest setup.
Chart Requirements
For proper script functionality and compliance with TradingView requirements, ensure your chart displays:
- Symbol name: The trading pair or instrument name should be visible
- Timeframe: The chart timeframe should be clearly displayed
- Script name: "Ultimate MACD " should be visible in the indicator title
These elements help traders understand what they're viewing and ensure proper script identification. The script automatically includes this information in the indicator title and chart labels.
Performance Considerations
The script is optimized for performance:
- Calculations use efficient Pine Script functions (ta.ema, ta.sma, etc.) which are optimized by TradingView
- Conditional execution: Features only calculate when enabled
- Label management: Old labels are automatically deleted to prevent accumulation
- Array management: Divergence label arrays are limited to prevent memory accumulation
The script should perform well on all timeframes. On very long historical data with many enabled features, performance may be slightly slower, but it remains usable.
Known Limitations and Considerations
- Dynamic OB/OS levels can vary significantly based on recent MACD volatility. In very volatile markets, levels may be wider; in calm markets, they may be narrower.
- Volume confirmation requires sufficient historical volume data. On new instruments or very short timeframes, volume calculations may be less reliable.
- Higher timeframe MACD uses request.security() which may have slight delays on some data feeds.
- Stochastic MACD requires the histogram to have sufficient history. Very short periods on new charts may produce less reliable StochMACD values initially.
- Divergence detection requires sufficient historical data to identify pivot points. Very short lookback periods may produce false positives.
Practical Use Cases
The indicator can be configured for different trading styles and timeframes:
Swing Trading:
Use MACD(12,26,9) with secondary timeframe confirmation. Enable divergence detection. Use signal strength filter (threshold 50+) and cross quality filter (threshold 50+) for higher-quality signals. Enable histogram analysis tools for additional context.
Day Trading:
Use MACD(8,17,7) or use "Day Trading" preset with minimal histogram smoothing for faster signals. Enable zero-line cross alerts for early signals. Use volume confirmation with threshold 1.2-1.5. Enable histogram MA for momentum tracking.
Trend Following:
Use MACD(12,26,9) or longer periods (15,30,12) for smoother signals. Enable secondary timeframe confirmation for trend alignment. Hidden divergence signals are useful for trend continuation entries. Use cross quality filter to identify high-quality crossovers.
Reversal Trading:
Focus on divergence detection (pivot-based for accuracy) combined with zero-line crosses. Enable volume confirmation. Use histogram Bollinger Bands to identify extreme histogram zones. Enable StochMACD for overbought/oversold identification.
Multi-Timeframe Analysis:
Enable secondary timeframe MACD to see context from larger timeframes. For example, use daily MACD on hourly charts to understand the larger trend context. Enable secondary confirmation to require higher timeframe alignment for signals.
Practical Tips and Best Practices
Getting Started:
Start with default settings and observe MACD behavior. The default configuration (MACD 12,26,9 with EMA) is balanced and works well across different markets. After observing behavior, customize settings to match your trading style. Consider using configuration presets for quick setup.
Reducing Repainting:
All signals are based on confirmed bars, minimizing repainting. The script uses confirmed bar data for all calculations to ensure backtesting accuracy.
Signal Quality:
MACD crosses with multiple filters provide the highest-quality signals because they require alignment across multiple indicators. These signals have lower frequency but higher reliability. Use signal strength scores to identify the strongest signals (70+). Use cross quality scores to identify high-quality crossovers (70+).
Filter Combinations:
Start with histogram filter for basic momentum alignment, then add signal strength filter for moderate signals, then cross quality filter for high-quality crossovers. Combining all filters significantly reduces false signals but also reduces signal frequency. Find your balance based on your risk tolerance.
Volume Filtering:
Set volume threshold to 1.0 (default, effectively disabled) or lower to effectively disable volume filtering if you trade instruments with unreliable volume data or want to test without volume confirmation. Standard confirmation uses 1.2-1.5 threshold.
MACD Period Selection:
Standard MACD(12,26,9) provides balanced signals suitable for most trading. Shorter periods (8,17,7) for faster signals, longer (15,30,12) for smoother signals. Adjust based on your timeframe and trading style. Consider using configuration presets for optimized settings.
Moving Average Type:
EMA provides balanced responsiveness with smoothness. RMA is smoother and less responsive. WMA gives more weight to recent prices. SMA gives equal weight to all periods. Choose based on your preference for responsiveness vs. smoothness.
Divergence:
Pivot-based divergence is more reliable than simple divergence because it uses actual pivot points. Hidden divergence indicates continuation rather than reversal, useful for trend-following strategies. Adjust pivot lookback parameters to control sensitivity.
Dynamic Thresholds:
Dynamic OB/OS thresholds automatically adapt to volatility. In volatile markets, thresholds widen; in calm markets, they narrow. Adjust the multipliers to fine-tune sensitivity. Enable OB/OS background colors for visual indication.
Zero-Line Crosses:
Zero-line crosses indicate momentum shifts and can provide early warning signals before MACD crosses the signal line. Enable alerts for zero-line crosses to catch these early signals.
Alert Management:
Enable alert cooldown (default enabled, 5 bars) to prevent alert spam. Use alert type filter to only evaluate specific alert types. Signal debounce (default enabled, 3 bars) prevents duplicate MACD cross signals during choppy markets.
Technical Specifications
- Pine Script Version: v6
- Indicator Type: Non-overlay (displays in separate panel below price chart)
- Repainting Behavior: Minimal - all signals are based on confirmed bars, ensuring accurate backtesting results
- Performance: Optimized with conditional execution. Features only calculate when enabled.
- Compatibility: Works on all timeframes (1 minute to 1 month) and all instruments (stocks, forex, crypto, futures, etc.)
- Edge Case Handling: All calculations include safety checks for division by zero, NA values, and boundary conditions. Alert cooldowns and signal debounce handle edge cases where conditions never occurred or values are NA.
Technical Notes
- All MACD values respect percentage mode conversion when enabled
- Volume confirmation uses cached volume SMA for performance
- Label arrays (divergence) are automatically limited to prevent memory accumulation
- Background coloring: OB/OS backgrounds are drawn on top of main background to ensure visibility
- All calculations are optimized with conditional execution - features only calculate when enabled (performance optimization)
- Signal strength calculation combines multiple factors into a single score for easy filtering
- Cross quality calculation rates crossover quality based on angle, volume, and distance from zero
- Secondary timeframe MACD uses request.security() for higher timeframe data access
- Histogram analysis features (Bollinger Bands, MA, StochMACD) provide additional context beyond basic MACD signals
- Statistics table dynamically adjusts to show only enabled features, keeping it clean and relevant
- Divergence detection uses MACD line (not histogram) for more reliable signals
- Configuration presets automatically optimize MACD parameters for different trading styles
- Smart label placement: Labels appear on current bar at confirmation, using strength from tracked extreme point
- Label spacing uses effective distance (base distance × spacing multiplier) for better distribution
- Zero line polarity enforcement ensures Buy labels only appear when tracked extreme MACD < 0, Sell labels only when tracked extreme MACD > 0
- Label finalization requires MACD exit from OB/OS zone, sufficient bars passed, and recovery/decline percentage confirmation
- Strength-based filtering automatically compares and keeps only the strongest label when multiple signals are close together
- Enhanced visualization: Line outlines drawn behind main lines for superior visibility (black default, configurable)
- Enhanced visualization: Fill between MACD and zero line provides instant visual feedback (green above, red below)
- Enhanced visualization: Fill between OB/OS thresholds highlights neutral zone when dynamic levels are active
- Custom chart background overrides background mode when enabled, allowing theme-consistent indicator panels
Advanced Multi-Level S/R ZonesAdvanced Multi-Level S/R Zones: The Comprehensive Guide
1. Introduction: The Evolution of Support & Resistance:
Support and Resistance (S/R) is the backbone of technical analysis. However, traditional methods of drawing these levels are often plagued by subjectivity. Two traders looking at the same chart will often draw two different lines. Furthermore, standard indicators often treat every price point equally, ignoring the critical context of Volume and Time.
The Advanced Multi-Level S/R Zones script represents a paradigm shift. It moves away from subjective line drawing and toward Quantitative Zoning. By utilizing statistical measures of variability (Standard Deviation, MAD, IQR) combined with Volume-Weighting and Time-Decay algorithms, this tool identifies where price is mathematically most likely to react. It treats S/R not as thin lines, but as dynamic zones of probability.
2. Core Logic and Mathematical Foundation:
To understand how to use this tool optimally, one must understand the "engine" under the hood. The script operates on four distinct pillars of logic:
A. Session-Based Data Collection:
The script does not look at every single tick. Instead, it aggregates data into "Sessions" (daily bars by default logic). It extracts the High, Low, and Total Volume for every session within the user-defined lookback period. This filters out intraday noise and focuses on the macro structure of the market.
B. Adaptive Statistical Variability:
Most Bollinger Band-style indicators use Standard Deviation (StdDev) to measure width. However, StdDev is heavily influenced by outliers (extreme wicks). This script offers a sophisticated Adaptive Method-Skewness Detection: The script calculates the skewness of the price distribution. Adaptive Selection: If the data is highly skewed (lots of outliers, typical in Crypto), it switches to MAD (Median Absolute Deviation). MAD is robust and ignores outliers. If the data is moderately skewed, it uses IQR (Interquartile Range). If the data is normal (Gaussian), it uses StdDev.
Benefit: This ensures the zone widths are accurate regardless of whether you are trading a stable Forex pair or a volatile Altcoin.
C. The Weighting Engine (Volume + Time)
Not all price history is equal. This script assigns a "Weight Score" to every session based on two factors:
Volume Weighting: Sessions with massive volume (institutional activity) are given higher importance. A high formed on low volume is less significant than a high formed on peak volume.
Time Decay: Recent price action is more relevant than price action from 50 bars ago. The script applies a decay factor (default 0.85). This means a session from yesterday has 100% impact, while a session from 10 days ago has significantly less influence on the zone calculation.
D. Clustering Algorithm
Once the data is weighted, the script runs a clustering algorithm. It looks for price levels where multiple session Highs (for Resistance) or Lows (for Support) congregate.
It requires a minimum number of points to form a zone (User Input: minPoints).
It merges nearby levels based on the Cluster Separation Factor.
This results in "Primary," "Secondary," and "Tertiary" zones based on the strength and quantity of data points in that cluster.
3. Detailed Features and Inputs Breakdown:
Group 1: Main Settings
Lookback Sessions (Default: 10): Defines how far back the script looks for pivots. A higher number (e.g., 50) creates long-term structural zones. A lower number (e.g., 5) creates short-term scalping zones.
Variability Method (Adaptive): As described above, leave this on "Adaptive" for the best results across different assets.
Zone Width Multiplier (Default: 0.75): Controls the vertical thickness of the zones. Increase this to 1.0 or 1.5 for highly volatile assets to ensure you catch the wicks.
Minimum Points per Zone: The strictness filter. If set to 3, a price level must be hit 3 times within the lookback to generate a zone. Higher numbers = fewer, but stronger zones.
Group 2: Weighting
Volume-Weighted Zones: Crucial for identifying "Smart Money" levels. Keep this TRUE.
Time Decay: Ensures the zones update dynamically. If price moves away from a level for a long time, the zone will fade in significance.
ATR-Normalized Zone Width: This is a dynamic volatility filter. If TRUE, the zone width expands and contracts based on the Average True Range. This is vital for maintaining accuracy during market breakouts or crashes.
Group 3: Zone Strength & Scoring
The script calculates a "Score" (0-100%) for every zone based on:
-Point Count: More hits = higher score.
-Touches: How many times price wicked into the zone recently.
-Intact Status: Has the zone been broken?
-Weight: Volume/Time weight of the constituent points.
-Track Zone Touches: Looks back n bars to see how often price respected this level.
-Touch Threshold: The sensitivity for counting a "touch."
Group 4: Visuals & Display
Extend Bars: How far to the right the boxes are drawn.
Show Labels: Displays the Score, Tier (Primary/Secondary), and Status (Retesting).
Detect Pivot Zones (Overlap): This is a killer feature. It detects where a Support Zone overlaps with a Resistance Zone.
Significance: These are "Flip Zones" (Old Resistance becomes New Support). They are colored differently (Orange by default) and represent high-probability entry areas.
Group 5: Signals & Alerts
Entry Signals: Plots Buy/Sell labels when price rejects a zone.
Detect Break & Retest: specifically looks for the "Break -> Pullback -> Bounce" pattern, labeled as "RETEST BUY/SELL".
Proximity Alert: Triggers when price gets within x% of a zone.
4. Understanding the Visuals (Interpreting the Chart)
When you load the script, you will see several visual elements. Here is how to read them:
The Boxes (Zones)
Red Shades: Resistance Zones.
Dark Red (Solid Border): Primary Resistance. The strongest wall.
Lighter Red (Dashed Border): Secondary/Tertiary. Weaker, but still relevant.
Green Shades: Support Zones.
Dark Green (Solid Border): Primary Support. The strongest floor.
Orange Boxes: Pivot Zones. These are areas where price has historically reacted as both support and resistance. These are the "Line in the Sand" for trend direction.
The Labels & Emojis
The script assigns emojis to zone strength:
🔥 (Fire): Score > 80%. A massive level. Expect a strong reaction.
⭐ (Star): Score > 60%. A solid structural level.
✓ (Check): Score > 40%. A standard level.
"⟳ RETESTING": Appears when a zone was broken, and price is currently pulling back to test it from the other side.
The Dashboard (Top Right)
A statistics table provides a "Head-Up Display" for the asset:
High/Low σ (Sigma): The variability of the highs and lows. If High σ is much larger than Low σ, it implies the tops are erratic (wicks) while bottoms are clean (flat).
Method: Shows which statistical method the Adaptive engine selected (e.g., "MAD (auto)").
ATR: Current volatility value used for normalization.
5. Strategies for Optimum Output
To get the most out of this script, you should not just blindly follow the lines. Use these specific strategies:
Strategy A: The "Zone Fade" (Range Trading)
This works best in sideways markets.
Identify a Primary Support (Green) and Primary Resistance (Red).
Wait for price to enter the zone.
Look for the "SUPPORT BOUNCE" or "RESISTANCE REJECTION" signal label.
Entry: Enter against the zone (Buy at support, Sell at resistance).
Stop Loss: Place just outside the zone width. Because the zones are calculated using volatility stats, a break of the zone usually means the trade is invalid.
Strategy B: The "Pivot Flip" (Trend Following)
This is the highest probability setup in trending markets.
Look for an Orange Pivot Zone.
Wait for price to break through a Resistance Zone cleanly.
Wait for the price to return to that zone (which may now turn Orange or act as Support).
Look for the "RETEST BUY" label.
Logic: Old resistance becoming new support is a classic sign of trend continuation. The script automates the detection of this exact geometric phenomenon.
Strategy C: The Volatility Squeeze
Look at the Dashboard. Compare High σ and Low σ.
If the values are dropping rapidly or becoming very small, the zones will contract (become narrow).
Narrow zones indicate a "Squeeze" or compression in price.
Prepare for a violent breakout. Do not fade (trade against) narrow zones; look to trade the breakout.
6. Optimization & Customization Guide
Different markets require different settings. Here is how to tune the script:
For Crypto & Volatile Stocks (Tesla, Nvidia)
Method: Set to Adaptive (Mandatory, as these assets have "Fat Tails").
Multiplier: Increase to 1.0 - 1.25. Crypto wicks are deep; you need wider zones to avoid getting stopped out prematurely.
Lookback: 20-30 sessions. Crypto has a long memory; short lookbacks generate too much noise.
For Forex (EURUSD, GBPJPY)
Method: You can force StdDev or IQR. Forex is more mean-reverting and Gaussian.
Multiplier: Decrease to 0.5 - 0.75. Forex levels are often very precise to the pip.
Volume Weighting: You may turn this OFF for Forex if your broker's volume data is unreliable (since Forex has no centralized volume), though tick volume often works fine.
For Scalping (1m - 15m Timeframes)
Lookback: Decrease to 5-10. You only care about the immediate session history.
Decay Factor: Decrease to 0.5. You want the script to forget about yesterday's price action very quickly.
Touch Lookback: Decrease to 20 bars.
For Swing Trading (4H - Daily Timeframes)
Lookback: Increase to 50.
Decay Factor: Increase to 0.95. Structural levels from weeks ago are still highly relevant.
Min Points: Increase to 3 or 4. Only show levels that have been tested multiple times.
7. Advantages Over Standard Tools:
Feature Standard S/R Indicator, Advanced Multi-Level S/R Calculation, Uses simple Pivots or Fractals, Uses Statistical Distributions (MAD/IQR). Zone Width Arbitrary or Fixed Adaptive based on Volatility & ATR.
Context Ignores Volume Volume Weighted (Smart Money tracking).
Time Relevance Old levels = New levels Time Decay (Recency bias applied).
Overlaps Usually ignores overlaps Detects Pivot Zones (Res/Sup Flip).
Scoring None 0-100% Strength Score per zone.
8. Conclusion:
The Advanced Multi-Level S/R Zones script is not just a drawing tool; it is a statistical analysis engine. By accounting for the skewness of data, the volume behind the moves, and the decay of time, it provides a strictly objective roadmap of the market structure.
For the optimum output, combine the Pivot Zone identification with the Retest Signals. This aligns you with the underlying flow of order blocks and prevents trading against the statistical probabilities of the market.
Sector Rotation ULTIMATE: 7 Narrativas IndependientesSector Rotation ULTIMATE: Crypto Narrative Rotation (7 Independent Sectors)
Advanced indicator displaying the relative strength of major crypto sectors through 7 independently normalized lines (0-100):
• Layer1 (ETH, SOL, BNB, TON, etc.) - Pink
• Enterprise (XRP, HBAR, XLM, QNT, VET) - Yellow
• DeFi (UNI, AAVE, MKR, LDO, CRV, etc.) - Cyan
• Memecoins (SHIB, DOGE, PEPE, WIF, FLOKI, BONK) - Green
• AI (TAO, FET, ICP, GRT, etc.) - Orange
• L2 / Scalability (ARB, OP, MATIC, STRK) - Purple
• RWA + Infra (ONDO, LINK) - Brown
Each sector sums the dominance of its top coins (40 total) and is normalized independently so the lines cross constantly, revealing real capital rotations.
- Colored fills to visually highlight the leading sector
- Works perfectly on any timeframe (clean daily data, no intraday noise)
- Ideal for spotting altseason, sector rotations, and entry timing
Use on CRYPTOCAP:TOTAL. The definitive narrative oscillator for 2026!
#Crypto #Altcoins #SectorRotation #DeFi #Memecoins #AI #RWA
deKoder | Business Cycle vs BitcoinThis indicator overlays Bitcoin's detrended momentum with the US ISM Manufacturing PMI (a key business cycle proxy) to visually dissect the relationship between crypto cycles and broader economic health.
Inspired by ongoing debates in crypto macro analysis (e.g., "Is there a 4-year halving cycle, or is it just the business cycle?" ), it highlights potential lead-lag dynamics - challenging the popular view that PMI strictly leads Bitcoin rallies and tops.
Key Features
• BTC Momentum Wave (Yellow/Orange Line):
Detrended deviation from Bitcoin's long-term "fair value" (24-month SMA).
Formula: ((close / sma(close, 24)) * 100 - 100) * 0.15
- Positive (yellow): BTC overvalued relative to trend | bullish momentum
- Negative (orange): Undervalued relative to trend | bearish momentum
• PMI Wave (Teal/Red Line):
ISM Manufacturing PMI centered at zero (raw PMI - 50, scaled ×3 for alignment).
- Positive (teal): Expansion (>50 raw) — economic tailwinds.
- Negative (red): Contraction (<50 raw) — headwinds, often linked to risk-off in assets.
• S&P 500 Momentum (White Line, Optional):
Similar deviation for SPX, showing how equities bridge BTC's volatility and PMI's smoothness.
• Divergence Highlights (Bar & Background Colors):
- Teal/Green Zones : BTC momentum positive while PMI negative → BTC signaling early recovery (potential lead by 1-3+ months at bottoms).
- Maroon/Red Zones : BTC momentum negative while PMI positive → BTC warning of rollovers (early bear signals).
- Neutral: No color — aligned cycles.
• Overlaid SMA on Price Chart :
24-month SMA for BTC (teal when price above, red when below) — quick fair value reference.
How to Interpret: Does BTC Lead the Business Cycle?
The chart flips the common meme ( "No 4-year cycle, it's just the business cycle" ) by visually emphasising BTC's potential as a forward-looking signal .
Historical cycles (2013–2025) show:
• BTC Leads at Bottoms : E.g., 2018–2019 and 2022 troughs — BTC momentum crosses positive 2–4 months before PMI, as speculative traders price in liquidity easing/recoveries ahead of manufacturing data.
• Coincident or BTC-Led at Tops : Peaks align closely (e.g., 2017, 2021), with PMI rollovers often coinciding or slightly leading the initial BTC euphoria fade. BTC then rolls over before PMI confirms later.
• Why? Markets are anticipatory (6–12 months forward), while PMI is a lagged survey snapshot. BTC, as a high-beta risk asset, amplifies early sentiment shifts before they hit factory orders/employment.
Inputs & Customization
• BTC Source (Default: BITSTAMP:BTCUSD)
• Fair Value MA Length (Default: 24 months)
• Show S&P (Default: False)
• PMI Multiplier (Default: 3.0)
• BTC Momentum Multiplier (Default: 0.15)
• Cap BTC Momentum at ±100 (Default: True)
• Toggle Early Cross Arrows, Bar/Background Deviation Colors, Difference Histogram
SuperTrend Weighted by Divergence█ OVERVIEW
SuperTrend Weighted by Divergence is a trend-following indicator based on the classic SuperTrend, enhanced with dynamic ATR weighting driven by divergences. Its key feature is adaptive behavior: when a divergence appears, the indicator temporarily reduces the ATR multiplier, allowing the trend line to react faster to potential market reversals.
The indicator remains clean, visually clear, and well suited for traders who want to combine trend-following with early detection of weakening momentum.
█ CONCEPT
One of the biggest drawbacks of trend indicators is their lagging nature, caused by the characteristics of source data. Classic SuperTrends react only after the trend has already developed, which often leads to late entries or exits.
The idea behind SuperTrend Weighted by Divergence is to introduce dynamic adjustment of the trend line in response to the first signs of trend weakening.
Instead of treating ATR as a constant volatility buffer, the indicator temporarily modifies its impact when the market sends warning signals in the form of price–oscillator divergences.
For divergence detection, a hidden auxiliary oscillator called “MPO4 Lines – Modal Engine” (default settings) is used. This oscillator is not displayed on the chart – only the points where divergences are detected are shown as markers on price bars.
Divergences do not generate direct entry signals; they are used solely to temporarily adjust the behavior of the SuperTrend.
If, after detecting a divergence against the current trend, a divergence in line with the trend appears, the previous divergence is invalidated and the SuperTrend returns to its standard behavior (base ATR multiplier).
█ FEATURES
Data sources:
- ATR (Average True Range)
- Reference point: HL2 (high/low average)
- MPO4 Lines – Modal Engine oscillator (hidden, used only for divergence detection)
Divergence logic:
- Bullish divergence: lower low in price + higher low in the oscillator
- Bearish divergence: higher high in price + lower high in the oscillator
- Divergences are detected using pivots (left/right)
- Divergence detection is delayed by the pivot length, as confirmation requires a fixed number of bars on the right side
Divergence impact:
- After a divergence is detected, the ATR multiplier is reduced
- The reduction strength is controlled by Divergence Sensitivity
- The effect is active only for a limited number of bars – 200 bars by default (divBars)
- The effect is canceled on trend change or when a trend-aligned divergence appears
Trend change logic:
- Trend changes only after a confirmed close beyond the trailing line
- No repainting
- Trend lines break at reversal points
Visual signals:
- “Buy” and “Sell” labels only on confirmed trend changes
- Optional bar coloring based on current trend (Color bars by trend)
- Soft fill between price and the trend line
- Divergence markers (dots above/below bars) shown at the point of divergence detection, not across the entire divergence structure
Alerts:
- Buy Signal – trend change to bullish
- Sell Signal – trend change to bearish
- Bullish Divergence
- Bearish Divergence
█ HOW TO USE
Adding the indicator:
Paste the code into Pine Editor or search for “SuperTrend Weighted by Divergence” on TradingView
Main settings:
- ATR Length – ATR period
- Base ATR Multiplier – base SuperTrend width
- Pivot Length – divergence sensitivity and detection delay
- Divergence Sensitivity – strength of divergence impact (0.0–1.0)
- Color bars by trend – enable / disable bar coloring
- Line and fill colors – fully customizable
Interpretation:
- Green line and bars = uptrend
- Red line and bars = downtrend
- Divergence against the trend = possible weakening and faster SuperTrend reaction
- Trend-aligned divergence = return to standard SuperTrend behavior
- No divergence = classic, stable SuperTrend behavior
█ APPLICATIONS
Ideal for:
- Trend-following
Entering positions only in the direction of the current trend, using the SuperTrend as a directional filter.
- Early detection of trend weakness
Repeated divergences against the trend may indicate decreasing momentum and a potential upcoming reversal.
- Markets with variable dynamics (crypto, indices, forex)
Entries based on trend changes, preferably confirmed by other tools such as Fibonacci levels, RSI, support/resistance, or market structure.
- Scalping, day trading, and swing trading (with parameter adjustments)
Increasing Divergence Sensitivity to around 0.4–0.5 produces many more signals on small, often short-lived moves.
These settings work well for scalping and day trading, but are not ideal for swing trading, as they tend to generate more false signals and frequent trend changes.
█ NOTES
- Works on all markets and timeframes
- Divergences are used to adapt SuperTrend behavior, not as standalone entry signals
- Higher Divergence Sensitivity = faster reaction and more signals
- Lower Divergence Sensitivity = smoother trend and fewer changes
- Best results are achieved by tuning parameters to the instrument and trading style
Candle Strength Analyzer by The Ultimate Bull Run# Candle Strength Analyzer
## 📊 Complete Beginner's Guide
---
### 🎯 What This Indicator Does
The **Candle Strength Analyzer** measures how "strong" or "weak" each candlestick is and displays a **score from 0 to 100** above or below every candle.
- **Green numbers** = Bullish (price went UP)
- **Red numbers** = Bearish (price went DOWN)
- **Gray numbers** = Doji (price barely moved)
**Higher score = Stronger candle = More reliable signal**
---
### 🕯️ Understanding Candlesticks (The Basics)
If you're new to trading, here's what a candlestick shows:
```
│ ← Upper Wick (prices that were rejected)
│
┌───┐
│ │ ← Body (the "real" price movement)
│ │ • Green/White body = Price went UP (Bullish)
│ │ • Red/Black body = Price went DOWN (Bearish)
└───┘
│
│ ← Lower Wick (prices that were rejected)
```
**Key Terms:**
- **Open**: The price when the candle started
- **Close**: The price when the candle ended
- **High**: The highest price during the candle
- **Low**: The lowest price during the candle
- **Body**: The rectangle between Open and Close
- **Wick/Shadow**: The thin lines above and below the body
---
## 📐 The 4 Components of Candle Strength
This indicator combines **4 measurements** to calculate the final strength score. Let's understand each one:
---
### 1️⃣ Body Ratio (30% of score)
**What it is:**
The percentage of the candle that is "body" versus "wicks."
**Formula:**
```
Body Ratio = Size of Body ÷ Total Candle Size × 100
```
**What it tells you:**
- **High Body Ratio (70-100%)**: Bulls or bears were in FULL control. The price moved in one direction and STAYED there. This is strong.
- **Low Body Ratio (0-30%)**: There was a fight. Price moved up AND down but ended up roughly where it started. This is weak/indecisive.
**Visual Example:**
```
Strong Candle (90% body): Weak Candle (20% body):
│ │
┌───┐ │
│ │ ┌─┴─┐
│ │ ← Mostly body │ │ ← Tiny body
│ │ └─┬─┘
└───┘ │
│ │
```
**How to interpret:**
| Body Ratio | Meaning |
|------------|---------|
| 90-100% | **Marubozu** - Extremely strong, full commitment |
| 70-90% | **Strong** - Clear winner (bulls or bears) |
| 40-70% | **Normal** - Typical market activity |
| 10-40% | **Weak** - Significant indecision |
| 0-10% | **Doji** - Complete indecision, no winner |
---
### 2️⃣ Close Position Score (25% of score)
**What it is:**
WHERE the candle closed within its range (high to low).
**What it tells you:**
- For a **bullish (green) candle**: Closing near the HIGH means buyers were still eager at the end = STRONG
- For a **bearish (red) candle**: Closing near the LOW means sellers were still eager at the end = STRONG
**Visual Example:**
```
Strong Bullish: Weak Bullish:
(closes near high) (closes near middle)
┌───┐ ← Close here │
│ │ ┌─┴─┐ ← Close here
│ │ │ │
│ │ │ │
└───┘ └───┘
│ │
```
**Why it matters:**
If price went UP but then sellers pushed it back down before the candle closed, that's a sign of weakness. The bulls couldn't hold their ground.
**How to interpret:**
| Close Position | For Bullish Candle | For Bearish Candle |
|----------------|-------------------|-------------------|
| 80-100% | Strong (near high) | Weak (near high) |
| 50-80% | Moderate | Moderate |
| 20-50% | Weak | Moderate |
| 0-20% | Very Weak (near low) | Strong (near low) |
---
### 3️⃣ Relative Volume - RVOL (25% of score)
**What is Volume?**
Volume is the NUMBER of shares/contracts traded during that candle. Think of it as "how many people participated."
**What is RVOL?**
RVOL compares TODAY'S volume to the AVERAGE volume.
**Formula:**
```
RVOL = Current Volume ÷ Average Volume (last 20 candles)
```
**What it tells you:**
- **RVOL = 1.0**: Normal activity (same as average)
- **RVOL = 2.0**: DOUBLE the normal activity (2x more traders involved)
- **RVOL = 0.5**: HALF the normal activity (fewer traders involved)
**Why it matters:**
A big price move with LOW volume is suspicious - it might not last.
A big price move with HIGH volume is confirmed - many traders agree.
**Think of it like voting:**
- High volume = Many people voted for this direction
- Low volume = Only a few people voted, decision might change
**How to interpret:**
| RVOL | Meaning | Signal Quality |
|------|---------|----------------|
| 2.0+ | Very High - Institutional activity likely | ⭐⭐⭐ Excellent |
| 1.5-2.0 | High - Significant interest | ⭐⭐ Good |
| 1.0-1.5 | Above Average | ⭐ Acceptable |
| 0.7-1.0 | Below Average | ⚠️ Caution |
| < 0.7 | Low - Lack of interest | ❌ Unreliable |
---
### 4️⃣ Size vs ATR (20% of score)
**What is ATR?**
ATR stands for "Average True Range." It measures how much the price TYPICALLY moves.
**What this component measures:**
How big is THIS candle compared to how big candles USUALLY are?
**Formula:**
```
ATR Ratio = This Candle's Size ÷ Average Candle Size (ATR)
```
**What it tells you:**
- **ATR Ratio = 2.0**: This candle is TWICE as big as normal = Significant move
- **ATR Ratio = 1.0**: This candle is normal sized
- **ATR Ratio = 0.5**: This candle is HALF the normal size = Minor move
**Why it matters:**
A 50-point move in a stock that normally moves 100 points is small.
A 50-point move in a stock that normally moves 20 points is HUGE.
Context matters!
**How to interpret:**
| ATR Ratio | Meaning |
|-----------|---------|
| 2.0+ | **Expansion** - Unusually large move, potential breakout |
| 1.5-2.0 | **Large** - Significant momentum |
| 1.0-1.5 | **Above Average** - Notable move |
| 0.5-1.0 | **Normal** - Typical movement |
| < 0.5 | **Small** - Insignificant, might be noise |
---
## 🧮 How the Final Score is Calculated
The indicator combines all 4 components with these weights:
```
Final Score = (Body Ratio × 30%) +
(Close Position × 25%) +
(RVOL Score × 25%) +
(Size Score × 20%)
```
**Result: A score from 0 to 100**
---
## 📊 Understanding the Strength Score
| Score | Classification | What It Means | Should You Trade It? |
|-------|---------------|---------------|---------------------|
| **70-100** | 🟢 STRONG | High conviction move, reliable signal | ✅ Yes - Good setup |
| **40-70** | 🟡 MODERATE | Average move, needs confirmation | ⚠️ Maybe - Add other indicators |
| **0-40** | 🔴 WEAK | Low conviction, unreliable | ❌ No - Wait for better setup |
---
## 🏷️ Special Pattern Markers
The indicator also detects special candlestick patterns:
### ⚡ Power Candle
**Requirements:**
- Body Ratio > 70% (strong body)
- RVOL > 1.5 (high volume)
- Close Position > 80% (closes near the extreme)
**What it means:** The BEST possible signal. Everything aligns perfectly.
### Ⓜ️ Marubozu
**Requirements:**
- Body Ratio > 90% (almost no wicks)
**What it means:** Complete dominance by bulls or bears. Very strong continuation signal.
### ◆ High Volume Doji
**Requirements:**
- Doji candle (tiny body)
- High volume
**What it means:** Many traders are fighting, but no one won. Often signals a REVERSAL is coming.
---
## ⚙️ Settings Explained
### Volume Settings
| Setting | Default | What It Does |
|---------|---------|--------------|
| Volume Lookback Period | 20 | How many candles to average for "normal" volume |
| RVOL Threshold | 1.5 | What counts as "high" volume (1.5 = 50% above average) |
### ATR Settings
| Setting | Default | What It Does |
|---------|---------|--------------|
| ATR Period | 14 | How many candles to calculate average movement |
| ATR Multiplier | 1.5 | What counts as a "large" candle |
### Strength Thresholds
| Setting | Default | What It Does |
|---------|---------|--------------|
| Strong Candle Threshold | 70 | Score needed to be "strong" |
| Weak Candle Threshold | 30 | Score below this is "weak" |
### Label Filter (Important!)
TradingView limits indicators to **500 labels maximum**. Use filters to see more history:
| Filter Mode | Shows | Best For |
|-------------|-------|----------|
| All Candles | Every single candle | Short-term charts (5min, 15min) |
| Strong Only (70+) | Only strong candles | Longer history, key signals only |
| Moderate+ (40+) | Moderate and strong | Balance of detail and history |
| Custom Minimum | Your choice | Full control |
**Tip:** On daily charts, use "Strong Only" to see months of history instead of just a few weeks.
### Label Settings
| Setting | What It Does |
|---------|--------------|
| Label Size | tiny / small / normal / large |
| Show Decimal Places | Show "72.5" instead of "73" |
| Label Style | With background bubble OR just text |
---
## 📖 How to Read the Info Table
The table in the corner shows details for the CURRENT (most recent) candle:
| Row | Meaning |
|-----|---------|
| **Candle Strength** | The final score (0-100) |
| **Direction** | BULLISH / BEARISH / DOJI |
| **Body Ratio** | Percentage of candle that is body |
| **Close Position** | Where it closed (0-100) |
| **Upper Wick** | Size of upper wick as % |
| **Lower Wick** | Size of lower wick as % |
| **RVOL** | Current volume vs average (1.5x = 50% above average) |
| **Size/ATR** | Candle size vs average size |
| **Classification** | STRONG / MODERATE / WEAK |
| **Vol Confirmed** | Is volume above threshold? |
| **Pattern** | Special pattern detected |
---
## 🎓 How to Use This Indicator
### Step 1: Add to Chart
1. Open Pine Editor in TradingView
2. Paste the code
3. Click "Add to Chart"
### Step 2: Adjust Filter (if needed)
- If you see "max labels reached," change filter to "Strong Only (70+)"
- This lets you see more candles in history
### Step 3: Look for Strong Signals
Focus on candles with:
- ✅ Score **70+** (bright green or red)
- ✅ **RVOL > 1.5** (confirmed by volume)
- ✅ Special markers (⚡, M, ◆)
### Step 4: Avoid Weak Signals
Be careful with candles that have:
- ❌ Score **below 40** (muted colors)
- ❌ **RVOL < 1.0** (no volume confirmation)
- ❌ Large wicks (rejection happened)
---
## 💡 Trading Tips for Beginners
### ✅ DO:
1. **Wait for strong candles (70+)** before entering trades
2. **Confirm with volume** - Look for RVOL > 1.5
3. **Use at support/resistance levels** - Strong candles at key levels are more meaningful
4. **Combine with other indicators** - RSI, MACD, or moving averages
5. **Practice on demo first** - Learn to recognize strong vs weak candles
### ❌ DON'T:
1. **Trade every candle** - Not all candles are worth trading
2. **Ignore volume** - A strong candle with low volume is suspicious
3. **Fight the trend** - Strong bearish candles in an uptrend might just be pullbacks
4. **Over-leverage** - Even strong signals can fail
---
## 📝 Quick Reference Cheat Sheet
```
STRONG CANDLE CHECKLIST:
□ Score 70+
□ RVOL > 1.5
□ Body Ratio > 60%
□ Close Position > 75% (bullish) or < 25% (bearish)
□ At key support/resistance level
WEAK CANDLE WARNING SIGNS:
□ Score < 40
□ RVOL < 0.7
□ Large wicks (> 30%)
□ Doji pattern
□ Small candle (ATR Ratio < 0.5)
```
---
## ⚠️ Important Disclaimers
1. **No indicator is 100% accurate** - Always use stop losses
2. **Past performance ≠ future results** - Markets change
3. **This is a tool, not a strategy** - Combine with other analysis
4. **Practice first** - Use paper trading before real money
---
## 🔔 Alerts Available
Set alerts for:
- Strong Bullish Candle (with volume confirmation)
- Strong Bearish Candle (with volume confirmation)
- Power Candle detected
- Marubozu detected
- High Volume Doji detected
---
## ❓ FAQ
**Q: Why are some candles missing labels?**
A: TradingView limits indicators to 500 labels. Use filters to see more history.
**Q: The label colors are hard to see. Can I change them?**
A: Yes! Go to Settings → Colors and customize all colors.
**Q: Should I only trade strong candles?**
A: Strong candles are MORE reliable, but not guaranteed. Always use proper risk management.
**Q: What timeframe works best?**
A: Works on all timeframes. Higher timeframes (4H, Daily) tend to have more reliable signals.
**Q: Can I use this for crypto/forex/stocks?**
A: Yes! This indicator works on any market with candlestick data and volume.
---
## 📚 Glossary
| Term | Definition |
|------|------------|
| **Bullish** | Price is going UP / Buyers are winning |
| **Bearish** | Price is going DOWN / Sellers are winning |
| **Doji** | Candle where open and close are nearly equal (indecision) |
| **Marubozu** | Candle with no wicks (full body) |
| **RVOL** | Relative Volume - current volume vs average |
| **ATR** | Average True Range - typical price movement |
| **Wick/Shadow** | The thin lines above/below the candle body |
| **Support** | Price level where buyers tend to step in |
| **Resistance** | Price level where sellers tend to step in |
| **Breakout** | When price moves beyond support/resistance |
---
**Happy Trading! 📈**
*Remember: The best traders are patient traders. Wait for strong setups.*
Effort-Result Divergence [Interakktive]The Effort-Result Divergence (ERD) measures whether volume effort is producing proportional price result. It quantifies the classic Wyckoff principle: when price moves easily, momentum is real; when price struggles despite heavy volume, absorption is occurring.
Think of ERD as "energy efficiency" for price movement — green means price is gliding, red means price is grinding.
█ WHAT IT DOES
• Measures volume EFFORT relative to average volume
• Measures price RESULT relative to ATR-normalized movement
• Computes ERD = Result minus Effort (each scaled 0-100)
• Flags statistical divergences via Z-score analysis
• Absorption events: high effort, low result (negative ERD)
• Vacuum events: low effort, high result (positive ERD)
█ WHAT IT DOES NOT DO
• NO buy/sell signals
• NO entry/exit recommendations
• NO alerts (v1 is educational only)
• NO performance claims or guarantees
This is a context tool for understanding market participation quality.
█ HOW IT WORKS
The ERD analyzes two dimensions of market activity and compares them.
EFFORT (Volume Intensity)
Compares current volume to a moving average baseline:
Effort Ratio = Volume ÷ SMA(Volume, Length)
Effort Score = clamp(100 × Effort Ratio ÷ Effort Cap)
High effort means above-average volume participation.
Low effort means below-average volume participation.
RESULT (Price Efficiency)
Measures how much price moved relative to expected volatility:
Result Ratio = |Close − Previous Close| ÷ ATR
Result Score = clamp(100 × Result Ratio ÷ Result Cap)
High result means price moved significantly for the volatility regime.
Low result means price barely moved despite market activity.
ERD SCORE
ERD = Result − Effort
• Positive ERD: Result exceeds effort → price moved easily (vacuum/thin liquidity)
• Negative ERD: Effort exceeds result → price struggled (absorption/accumulation)
• Near zero: Balanced effort-to-result relationship
STATISTICAL DIVERGENCE DETECTION
Z-score analysis identifies statistically significant extremes:
Z = (ERD − Mean) ÷ StdDev
• Absorption Event: Z ≤ −threshold (extreme negative ERD)
• Vacuum Event: Z ≥ +threshold (extreme positive ERD)
█ INTERPRETATION
GREEN BARS (Positive ERD)
Price moved with relatively little volume effort. This suggests:
• Thin liquidity / low resistance
• Strong directional interest
• Momentum is "real" — not forced
RED BARS (Negative ERD)
Heavy volume was used but price barely moved. This suggests:
• Absorption / accumulation occurring
• Large players opposing the move
• Inefficiency — someone is working hard for little result
THE KEY INSIGHT
When you see:
• Down moves = high effort (red spikes)
• Up moves = low effort (green bars)
This means: It's easier for price to go up than down.
That is asymmetric strength — classic bullish pressure.
The reverse (red on up moves, green on down moves) signals bearish pressure.
PRACTICAL RULES
Without any other indicators:
• Avoid shorting when ERD is mostly green and red spikes appear only on down candles
• Be cautious buying when ERD turns red on up candles (signals absorption of buying pressure)
• Vacuum events (extreme green) often precede continuation or pause — not violent reversal
• Absorption events (extreme red) often precede reversals or range formation
█ VOLUME DATA NOTE
This indicator uses the volume variable which represents:
• Exchange volume on stocks and futures
• Tick volume on Forex and CFD instruments
Tick volume is a proxy for activity, not actual exchange volume. The indicator remains useful on Forex as relative volume comparisons are still meaningful, but interpretation should account for this limitation.
█ INPUTS
Core Settings
• Volume Average Length: Baseline period for effort calculation (default: 20)
• ATR Length: Volatility normalization period (default: 14)
• Effort Cap: Volume ratio that maps to 100% effort (default: 3.0)
• Result Cap: ATR multiple that maps to 100% result (default: 1.0)
Divergence Detection
• Z-Score Lookback: Statistical analysis window (default: 100)
• Z-Score Threshold: Standard deviations for event flags (default: 2.0)
Visual Settings
• Show ERD Histogram: Toggle main display
• Show Zero Line: Toggle reference line
• Show Divergence Markers: Toggle event circles
• Show Effort/Result Lines: Display component breakdown
█ ORIGINALITY
While Wyckoff's effort-versus-result principle is well-established, existing implementations are typically:
• Purely visual with no quantification
• Pattern-based requiring subjective interpretation
• Not statistically normalized for comparison across instruments
ERD is original because it:
1. Normalizes both effort and result to 0-100 scales for direct comparison
2. Uses ATR for result normalization (adapts to volatility regime)
3. Applies statistical Z-score for objective divergence detection
4. Provides quantified output suitable for systematic analysis
█ DATA WINDOW EXPORTS
When enabled, the following values are exported:
• Effort (0-100)
• Result (0-100)
• ERD Score
• Z-Score
• Absorption Event (1/0)
• Vacuum Event (1/0)
█ SUITABLE MARKETS
Works on: Stocks, Futures, Forex, Crypto
Best on: Instruments with reliable volume data (stocks, futures, crypto)
Timeframes: All timeframes — interpretation adapts accordingly
█ RELATED
• Market Efficiency Ratio — measures price path efficiency
• Wyckoff Volume Spread Analysis — conceptual foundation
█ DISCLAIMER
This indicator is for educational purposes only. It does not constitute financial advice. Past performance does not guarantee future results. Always conduct your own analysis before making trading decisions.
Advanced custom multi MA signals (EMA/SMA/VWMA/VWAP) Features of Multi Moving Averages
The biggest enemy in trading is "Noise." If you get swayed by minute fluctuations on the chart, you end up missing the forest for the trees.
This indicator (Advanced Custom Multi MA Signals) is not just a simple line. By combining the three core elements of Price, Time, and Volume, it acts as a navigation system that visualizes the market's "true trend." In particular, the ability to analyze 5 moving averages simultaneously across various timeframes is akin to viewing a 3D map of the battlefield.
Understanding Core Concepts
This indicator supports 4 types of moving averages. It is crucial to clearly understand the nature of each tool.
SMA (Simple Moving Average): The most basic average value. Since it produces fewer whipsaws (false signals), it is used as a baseline to judge the "long-term trend."
EMA (Exponential Moving Average): Places more weight on recent prices. It reacts sensitively to market changes, making it advantageous for identifying "entry points."
VWMA (Volume Weighted Moving Average): Incorporates "volume" into the price calculation. It acts as a "false signal filter," weeding out price moves that aren't backed by trading volume.
VWAP (Volume Weighted Average Price): The benchmark price used by institutional investors for daily trading. It is calculated based on the session, regardless of the period settings. It is considered the "lifeline" of day trading.
Indicator Settings Guide
Open the settings window and tune it to fit your trading style.
MA 01 ~ 05 (Moving Average Settings)
MA Type: Select according to your purpose. (Generally, EMA is recommended for short-term analysis, SMA/VWMA for long-term).
Length: Enter the period you wish to analyze (e.g., 20, 60, 120, 200).
Timeframe: This is the core feature. It allows you to overlay moving averages from a higher timeframe (e.g., 4-hour, Daily) onto the chart you are currently viewing (e.g., 15-minute).
Signal Option (Trading Signals)
Golden Cross (GC) / Death Cross (DC): Captures the moment the short-term line breaks through the long-term line. You can run up to 3 strategies simultaneously.
Ribbon Gradient (Trend Visualization)
Represents the gap between two moving averages with color. As the color deepens and the width expands, it indicates a powerful trend; if the width narrows, it suggests a high probability of a trend reversal.
5 Usage Strategies
The highlight of this indicator is the cross strategy utilizing the "Multi-Timeframe (MTF)" feature. Familiarize yourself with the 5 example strategies below and set up your own strategy based on your expertise.
💡 Tip 1. Do not go against the "Major Trend" (The Authority of the Weekly Candle)
Settings: Set MA5 to .
Interpretation: The Weekly 50 line is the "major trend line" managed by institutions and market makers. If the current price is above this line, maintain only a "Buy (Long)" bias; if below, maintain only a "Sell (Short)" bias. Adhering to this rule alone can help you avoid massive losses.
💡 Tip 2. Highly Reliable "Swing Signal" (Daily Golden Cross)
Settings: In Signal 1, configure the Short MA to and the Long MA to .
Interpretation: A Golden Cross where the 4-Hour 50 EMA breaks above the Daily 50 EMA often signifies a major "trend reversal" rather than a temporary rebound. This provides an ideal entry signal for office workers or swing traders who need high reliability.
💡 Tip 3. 4-Hour Candle as the Standard for "Precision Entry"
Situation: When the Daily trend is rising (Bullish alignment).
Strategy: While watching the 15-minute or 1-hour chart, set the indicator's Signal 2 to the cross of and .
Interpretation: When the Daily chart is in an uptrend, a Golden Cross occurring on the 4-Hour chart marks "the point where a correction (pullback) ends and the rise resumes." This is the entry point with the best risk-to-reward ratio.
💡 Tip 4. Filtering Out "Fake Signals" (The Secret of Volume)
Strategy: When creating a cross signal, try using VWMA (Volume Weighted) for the Long MA, even if you use EMA for the Short MA.
Reason: A Golden Cross caused simply by a rise in price can be a trap. However, if it breaks through the heavy VWMA line accompanied by volume, it is strong evidence that "genuine liquidity" has entered.
💡 Tip 5. Remember the "Hierarchy" (Higher Timeframe Priority Rule)
Principle: If a Golden Cross (Buy Signal) appears on the 4-Hour chart, but the Daily chart is in a Death Cross (Sell Signal) state, do not enter.
Interpretation: A signal from a lower timeframe cannot overcome the power of a higher timeframe. The professional approach is to trade with significant volume only when signals align (Sync) in the order of Weekly > Daily > 4-Hour. Keep this indicator's dashboard feature on and always check the status of higher timeframes.
Signal Generation Principle (Operating Mechanism)
Signals are generated when the set short-term moving average and long-term moving average cross each other.
📈 1. Golden Cross (BUY = Buy Signal)
Situation: The moment the short-term MA crosses upward from below the long-term MA.
Principle: It implies that recent buying pressure has broken through the resistance level accumulated over a long period.
📉 2. Death Cross (SELL = Sell Signal)
Situation: The moment the short-term MA crosses downward from above the long-term MA.
Principle: It implies that recent selling pressure has collapsed the long-term support line.
※ If the candles are not displaying correctly or are flickering, please set the indicator's 'Visual order' to 'Bring to front' as shown in the image below.
Investment Caution and Disclaimer
Before using this indicator for actual trading, please strictly read the contents below.
① Auxiliary indicators are a "Compass," not a "Book of Prophecy."
This indicator is merely a tool that mathematically calculates and visualizes past price data. A "magic indicator" that predicts future price fluctuations 100% accurately or guarantees profit does not exist. The signals provided are for reference only and must never be the sole basis for entry/exit decisions.
② The responsibility for all investments lies with "Yourself."
Financial investment (Cryptocurrencies, Stocks, Futures, etc.) involves high volatility and is a risky activity that can result in the loss of some or all of the principal. The final responsibility for all trading results (profits and losses) incurred by utilizing this indicator lies entirely with the investor. The distributor and developer accept no legal responsibility for investment results under any circumstances.
③ Past data does not guarantee the future.
Even a Golden Cross that fit perfectly in backtesting or past charts may operate differently in tomorrow's market situation (News, Macroeconomics, Unexpected Variables, etc.). Do not rely solely on technical analysis; you must conduct fundamental analysis and risk management in parallel.
④ Risk management is the top priority.
No matter how promising a signal appears, "all-in trading" (investing all assets in a single trade) is a shortcut to bankruptcy. More important than the indicator itself is adhering to the principles of strict scaling in (split buying) and Stop-Loss.
CT Market Fragility & Systemic Risk Monitor v1.0CT ⊕ Market Fragility & Systemic Risk Monitor v1.0
Systemic Stress & Market Regime Monitor
OVERVIEW
Wall Street-grade structural monitoring now open-source.
CT ⊕ Market Fragility & Systemic Risk Monitor v1.0 is a real-time systemic risk tool designed to detect fragility before it hits price. Built by former institutional traders, it delivers structural insight typically reserved for desks inside hedge funds and global macro desks.
This isn’t about finding entries or exits, it’s about understanding the environment you're trading in, and recognizing when it's shifting.
WHAT IT DOES
• Monitors six key market domains: Equities, Rates/Credit, FX (USD stress), Commodities, Crypto, and Macro
• Detects volatility stress, cross-domain coupling, and regime synchronization
• Classifies market structure into Normal → Fragile → Critical
• Shows a live dashboard with scores, coupling levels, and structural state
• Plots event markers (T1, T2, T3) for structural transitions
• Implements hysteresis logic to model post-stress 'memory
• Supports both single-domain ("Local Mode") and system-wide monitoring
HOW IT WORKS
This engine does not rely on traditional TA. No moving averages. No MACD. No patterns. No guesswork.
Instead, it measures how markets are behaving beneath price detecting when stress is:
• Building internally
• Spreading across domains
• Synchronizing into systemic fragility
T1 (🟠) — Early instability: acceleration in market coupling
T2 (🔵) — Fragile regime: multiple domains simultaneously stressed
T3 (🔴) — Critical regime: synchronized, system-wide stress
These are not buy/sell signals. They are structural regime alerts, the same kind used by institutions to cut risk before stress cascades.
WHY IT MATTERS
Most retail tools are reactive. They interpret surface-level patterns after the move.
This tool is different. It’s proactive – measuring pressure before it breaks structure.
Institutions have used structural fragility models like this for years. This script helps close that gap, giving everyday traders the same early warnings that pros use to reduce exposure and sidestep systemic blowups.
It’s not about finding the edge.
It’s about not getting crushed when the system breaks.
Whether you trade crypto, stocks, FX, or macro, this engine helps answer:
• Is the system stable right now?
• Are stress levels rising across markets?
• Is it time to tighten risk?
Institutions don’t wait for breakouts. They monitor structure.
Now, you can too.
KEY FEATURES
• Works on any asset class and any timeframe
• Fully customizable domain selection
• Three-tier structural alert system (T1–T3)
• Real-time dashboard: stress scores, states, and coupling levels
• Hysteresis modeling: post-stress “memory” detection
• Supports single-domain (local) or multi-domain (systemic) monitoring
• PineScript alerts built-in
RECOMMENDED USE
Active traders - all asset classes
Use the dashboard and T1–T3 alerts to stay aware of structural risk in real time.
Track multi-timeframe alignment to detect where risk originates and how it spreads across markets.
Crypto trader s
Monitor upstream domains (Equities, FX, Rates, Macro) to detect pressure before it reaches crypto.
Identify reflexive stress before Bitcoin reacts — and stay ahead of contagion events.
Macro & systematic traders
Use T1–T3 transitions as volatility filters, exposure governors, or dynamic risk overlays.
Build regime-aware models that adapt to shifting systemic conditions.
Examples & Visuals
Question: Would it have helped to know that at 9:30 on October 9th and again at 10:00 on October 10th that critical states were detected in the structural behavior of Bitcoin? Take a look:
30 min chart BTC shows two distinct T3 (critical) regime detections October 9th and 10:30 October 10th
5m BTC chart reveals high frequency instability for the same period, identifying instability, fragility, criticality
The 30minute BTC chart at 16:30 Friday October 10th,, a few hours after first detecting critical systemic risk
RISK DISCLAIMER
This is a structural analysis tool, not a predictive signal. It does not provide financial advice, trade entries, or forecasts. Use at your own risk. Full disclaimer embedded in the script.
Complexity Trading - From Wall St to Main St
No patterns. No repainting. No mysticism. Just logic, math, science and market structure - now made accessible to everyone.
Developer of LPPL Critical Pulse (LPPLCP), the Temporal Phase Model (TPM) and other
other advanced structural and attractor based systems inspired by Sornette’s LPPL framework and other differentiated thinkers.
Note on Methodology
This tool is not predictive, and not designed for academic publication.
It is a real-time structural monitoring system inspired by academically established concepts,
including LPPL attractor dynamics, cross-asset coupling, reflexivity, and phase regime transitions, implemented within the real-time constraints of PineScript, and intended for visual, exploratory, and diagnostic use.
Institutional Execution Engine v3 [Nishith Rajwar]
Institutional Execution Engine v3
Market-Structure-Driven Execution Framework (Indicator + Strategy Hybrid)
The **Institutional Execution Engine v3** is a professional-grade execution framework designed to model **how institutional participants interact with liquidity, volatility regimes, and market structure**.
It is built for **index traders, crypto traders, and systematic intraday participants** who require **non-repainting, forward-validated signals** with strict risk control.
This is **not a mashup of indicators**.
Every module is purpose-built and interacts through a unified execution pipeline.
---
🔍 Core Concepts & Methodology
1️⃣ Market Structure & POI Engine
* Identifies **Points of Interest (POIs)** using swing structure, volatility context, and liquidity positioning
* POIs are **confirmed only after bar close** (strict non-repaint enforcement)
* Adaptive pivot sensitivity based on selected execution preset
2️⃣ Liquidity-Aware Scoring System
Each potential trade is filtered through a **multi-factor execution score**, including:
* Structural alignment
* Volatility normalization (ATR regime)
* Liquidity reaction quality
* Directional efficiency
Trades are only allowed when the **minimum institutional score threshold** is met.
3️⃣ Regime Detection (Forward-Walk Safe)
The engine dynamically classifies market conditions into execution regimes:
* Trending
* Rotational
* Mean-reverting
Regime detection is **forward-walk compatible** and does **not leak future data**.
4️⃣ Risk-First Execution Model
* ATR-normalized stop placement
* R-multiple-based take-profit targeting
* Optional **single-trade-per-session guard**
* Strategy engine includes **open-trade protection** to prevent over-execution
5️⃣ Strategy + Indicator Hybrid
This script can be used in **two ways**:
* **Indicator mode** → discretionary execution with visual POIs, signals, and context
* **Strategy mode** → systematic backtesting with full TradingView Strategy Tester support
Both modes share the **same execution logic** (no divergence).
---
⚙️ Preset-Driven Architecture
Built-in execution presets auto-configure internal parameters without changing core logic:
* **Scalp (Index)**
* **Daytrade (Index)**
* **Crypto Intraday**
* **Institutional Research (FWalk)**
Presets adjust pivot sensitivity, score thresholds, ATR behavior, and risk profile — while preserving execution integrity.
---
## 🚫 Non-Repainting & Data Integrity
* No look-ahead bias
* No future bar references
* No repainting signals
* VWAP and regime logic reset correctly per session
* Safe handling of strategy.opentrades to avoid execution errors
All signals are **bar-close confirmed**.
---
📊 Who This Is For
✔ Index traders (NIFTY / BANKNIFTY / SENSEX)
✔ Crypto intraday traders
✔ Systematic traders validating execution logic
✔ Traders who value **structure + liquidity + risk discipline** over indicators
---
⚠️ Disclaimer
This script is a **research and execution framework**, not financial advice.
Always forward-test and adapt risk parameters to your instrument and timeframe.
---
**Author:** Nishith Rajwar
**Version:** v3
**Execution Philosophy:** Trade where institutions execute — not where indicators react.
Selected Times V3-EnDoes the stock drop every Wednesday? Do March months always move similarly? Does the 1st week of the month behave differently?
Do you ever say "it always makes this move in these months"? Don't you want to see more clearly whether it actually makes this move or not? Don't you want to see and test periodically repeating price patterns?
1. Problem
Some stocks or crypto assets exhibit systematic behaviors on certain days, weeks, or months. But it's hard to see - everything is mixed together on the chart. This indicator isolates the days/weeks/months you want and shows only them. Hides everything else.
2. How It Works
Three-layer filter: Day (Monday, Tuesday...), Week (1st, 2nd, 3rd week of the month), Month (January, February...). Select what you want, let the rest disappear. Example: Show only Thursdays of March-June-September. Or compare every 1st week of the month. View as candlestick, line, or column chart.
3. What's It Good For?
Test "end-of-month effect". Find "day-of-the-week anomaly". Analyze crypto volatility by days. See seasonality in commodities. Discover patterns specific to your own strategy. Past data doesn't guarantee the future but provides statistical advantage.
Trinity Real Move Detector DashboardRelease Notes (critical)
1. This code "will" require tweaks for different timeframes to the multiplier, do not assume the data in the table is accurate, cross check it with the Trinity Real Move Detector or another ATR tool, to validate the values in the table and ensure you have set the correct values.
2. I mention this below. But please understand that pine code has a limitation in the number of security calls (40 request.security() calls per script). This code is on the limit of that threshold and I would encourage developers to see if they can find a way around this to improve the script and release further updates.
What do we have...
The Trinity Real Move Detector Dashboard is a powerful TradingView indicator designed to scan multiple assets at once and show when each one has genuine short-term volatility "energy" — the kind that makes directional options trades (especially 0DTE or short-dated) have a high probability of follow-through, and can be used for swing trading as well. It combines a simple ATR-based volatility filter with a SuperTrend-style bias to tell you not only if the market is "awake" but also in which direction the momentum is leaning.
At its core, the indicator calculates the current ATR on your chosen timeframe and compares it to a user-defined percentage of the asset's daily ATR. When the short-term ATR spikes above that threshold, it signals "enough energy" — meaning the underlying is moving with real force rather than choppy noise. The SuperTrend logic then determines bullish or bearish bias, so the status shows "BULLISH ENERGY" (green) or "BEARISH ENERGY" (red) when energy is on, or "WAIT" when it's not. It also counts how many bars the energy has been active and shows the current ATR vs threshold for quick visual confirmation.
The dashboard displays all this in a clean table with columns for Symbol, Multiplier, Current ATR, Threshold, Status, Bars Active, and Bias (UP/DOWN). It's perfect for 3-minute charts but works on any timeframe — just adjust the multiplier based on the hints in the settings.
Editing symbols and multipliers is straightforward and user-friendly. In the indicator settings, you'll see numbered inputs like "1. Symbol - NVDA" and "1. Multiplier". To change an asset, simply type the new ticker in the symbol field (e.g., replace "NVDA" with "TSLA", "AVGO", or "ADAUSD"). You can also adjust the multiplier for each asset individually in the corresponding "Multiplier" field to make it more or less sensitive — lower numbers give more signals, higher numbers give stricter, higher-quality ones. This lets you customize the dashboard to your watchlist without any coding. For example, if you switch to a 4-hour chart or a slower-moving stock like AVGO, you may need to raise the multiplier (e.g., to 0.3–0.4) to avoid false "bullish" signals during minor bounces in a larger downtrend.
One important note about the multiplier and timeframes: the default values are optimized for fast intraday charts (like 3-minute or 5-minute). On higher timeframes (15-minute, 1-hour, 4-hour, or daily), the SuperTrend bias can be too sensitive with low multipliers (1.0 default in the code), leading to situations like the AVGO 4-hour example — where price is clearly downtrending, but the dashboard shows "BULLISH ENERGY" because the tight bands flip on small bounces. To fix this, you need to manually increase the multiplier for that asset (or all assets) in the settings. For 4-hour or daily charts, 0.25–0.35 is often better to match smoother SuperTrend indicators like Trinity. Always test on your timeframe and asset — crypto usually needs slightly lower multipliers than stocks due to higher volatility.
TradingView has a hard limit of 40 request.security() calls per script. Each asset in the dashboard requires several calls (current ATR, daily ATR, SuperTrend components, etc.), so with the full ATR-based bias, you can safely monitor about 6–8 assets before hitting the limit. Adding more symbols increases the number of calls and will trigger the "too many securities" error. This is a platform restriction to prevent excessive server load, and there's no official way around it in a single script. Some advanced coders use tricks like caching or lower-timeframe requests to squeeze in a few more, but for reliability, sticking to 6–8 assets is recommended. If you need more, the common workaround is to create two separate indicators (e.g., one for stocks, one for crypto) and add both to the same chart.
Overall, this dashboard gives you a professional-grade multi-asset scanner that filters out low-energy noise and highlights real momentum opportunities across stocks and crypto — all in one glance. It's especially valuable for options traders who want to avoid theta decay on weak moves and only strike when the market has true fuel. By tweaking the per-symbol multipliers in the settings, you can perfectly adapt it to any timeframe or asset behavior, avoiding issues like the AVGO false bullish signal on higher timeframes.
Weekend Asia High/Low Dots + Trading Window (UTC+1)**Weekend Asia High/Low Dots & Trading Window** is a lightweight TradingView indicator designed to **mark the exact Asia session extremes on weekends (Saturday & Sunday)** and highlight predefined **trading time windows** with maximum clarity and minimal chart clutter.
The indicator focuses on **precision, simplicity, and manual trading workflows**.
---
### 🔍 Key Features
#### 🟢 Asia Session High & Low (Weekend Only)
* Tracks the **Asia session on Saturday and Sunday**
* Marks **exactly two points per session**:
* One dot at the **true wick high**
* One dot at the **true wick low**
* Dots are plotted **only once**, at the **end of the Asia session**
* **No lines, no boxes, no extensions** – just clean reference points
* Ideal for traders who prefer to **draw their own ranges manually**
#### 🟩 Trading Window Highlight
* Customizable **trading time windows** for Saturday and Sunday
* Displayed as a **clean outline box** (no background fill)
* Helps visually separate **range formation** from **active trading hours**
---
### ⏰ Time Handling
* All session times are defined in **UTC+1**
* Uses a **fixed UTC+1 timezone** (`Etc/GMT-1`) for consistent behavior
* Easily adjustable to other timezones if needed
---
### ⚙️ Customizable Inputs
* Asia session times (Saturday & Sunday)
* Trading session times (Saturday & Sunday)
* Optional trading window labels
* Easy point size adjustment directly in the code
---
### 🎯 Use Cases
* Weekend trading (Crypto, Indices, Synthetic markets)
* Asia range analysis
* Manual range drawing & breakout planning
* Clean, distraction-free chart layouts
---
### 🧠 Who Is This Indicator For?
* Price action traders
* Range & session-based traders
* Traders who prefer **manual chart markup**
* Anyone trading **weekends with structured time windows**
---
### 🛠 Technical Details
* Pine Script® **Version 6**
* Overlay indicator
* Optimized for clarity and performance
---
If you want, I can also provide:
* a **short description** (1–2 lines for the TradingView header)
* **tags & keywords** for better discoverability
* or a **version with user-adjustable dot size via Inputs**
Optimized BTC Mean Reversion (RSI 20/65)📈 Optimized BTC Mean Reversion (RSI 20/65)
Optimized BTC Mean Reversion (RSI 20/65) is a rule-based trading strategy designed to capture mean-reversion moves in strong market structures, primarily optimized for Bitcoin, but adaptable to other liquid cryptocurrencies.
The strategy combines RSI extremes, Stochastic momentum, and EMA trend filtering to identify high-probability reversal zones while maintaining strict risk management.
🔍 Strategy Logic
This system focuses on entering trades when price temporarily deviates from equilibrium, while still respecting the broader trend.
✅ Long Conditions
RSI below 20 (oversold)
Stochastic below 25
Price trading above the 200 EMA (or within a controlled deviation)
Designed to buy sharp pullbacks in bullish conditions
❌ Short Conditions
RSI above 65 (overbought)
Stochastic above 75
Price trading below the 200 EMA
Designed to sell relief rallies in bearish conditions
🛡 Risk Management
Fixed Stop Loss: 4%
Fixed Take Profit: 6%
Risk/Reward: 1 : 1.5
No pyramiding (single position at a time)
Full equity position sizing (adjustable)
All exits are predefined at entry, ensuring consistency and emotional discipline.
📊 Indicators Used
200 EMA – Trend direction filter
RSI (14) – Mean-reversion trigger (20 / 65 levels)
Stochastic Oscillator – Momentum confirmation
👁 Visual Features
EMA plotted directly on chart
Real-time Stop Loss, Take Profit, and Entry Price lines
Clear long/short entry markers
Works on all timeframes (optimized for intraday and swing trading)
🔔 Alerts
Long entry alerts
Short entry alerts
(Perfect for automation or discretionary execution)
⚠️ Disclaimer
This strategy is intended for educational and research purposes only. Past performance does not guarantee future results. Always test on a demo account and adjust risk parameters to your own trading plan.
ATR R-LevelsATR-R Levels is built for clarity of risk management.
The script takes your account size, chosen risk %, and the market’s volatility, then turns all of that into exact stop-loss, take-profit, and position size so there’s no guessing.
It’s inspired by key principles from NNFX, especially ATR-based stop placement and fixed-risk position sizing, but redesigned for fast intraday crypto trading. You get the same consistency and discipline NNFX is known for, adapted to a much shorter timeframe.
ATR-R Levels gives you:
A volatility-based stop using ATR
A clean 2R (or custom R-multiple) target
Automatic position sizing based on your risk rules
A simple HUD showing ATR, entry, stop, TP, size, and risk
Optional net profit estimates after fees
Let me know what you think or if you use it!
VCAI Stochastic RSI+VCAI Stoch RSI+ is a cleaned-up Stochastic RSI built with V-Core colours for faster, clearer momentum reads and more reliable OB/OS signals.
What it shows:
Purple %K line → bearish momentum strengthening
Yellow %D line → bullish momentum building and smoothing
Soft purple/yellow background bands → OB/OS exhaustion zones, not just raw 80/20 triggers
Midline at 50 → balance point where momentum shifts between bull- and bear-side control
Optional HTF mode → run Stoch RSI from any timeframe while viewing it on your current chart
How to read it:
Both lines rising out of OS → early bullish shift; pullbacks that hold direction favour continuation
Both lines falling from OB → early bearish shift; bounces into the purple OB zone can become fade setups
Lines stacked and moving together → strong, cleaner momentum
Lines crossing repeatedly → low-conviction, choppy conditions
OB/OS shading highlights exhaustion so you focus on moves with context, not every 80/20 tick
Why it’s different:
Classic Stoch RSI is hyper-sensitive and mostly noise.
VCAI Stoch RSI+ applies V-Core’s colour-driven regime logic, controlled OB/OS shading, and optional HTF smoothing so you see momentum structure instead of clutter — making it easier to judge when momentum is genuinely shifting and when it’s just another wiggle.
VCAI RSI Divergence +VCAI RSI Divergence+ is an RSI that shows trend, momentum, and divergence using V-CoresAI colour logic instead of a single white line.
What it shows:
Yellow RSI line → bullish momentum (RSI above its MA; buy-side pressure in control)
Purple RSI line → bearish momentum (RSI below its MA; sell-side pressure in control)
Thin blue line → fast RSI moving average that drives the colour flips
Dashed 70/30 lines → classic OB/OS zones
Background bands → soft purple in OB, soft yellow in OS to mark exhaustion areas
How to read it:
Yellow & rising → momentum shifting bullish; pullbacks into yellow OS band can be accumulation zones
Purple & falling → momentum shifting bearish; pushes into purple OB band can be distribution/sell zones
Hard colour flips (yellow ↔ purple) mark trend regime changes, not minor RSI noise
Divergence mode (on/off)
The divergence engine scans RSI and price pivot structure:
Bullish divergence (yellow) → price lower low + RSI higher low
Bearish divergence (purple) → price higher high + RSI lower high
Lines and tags appear only where a meaningful disagreement between price and RSI exists, giving early context for potential reversals or fade setups.
Together, the momentum colours + optional divergence mapping give a far clearer market read than a standard RSI, with zero clutter and no guesswork.
LuxyEnergyIndexThe Luxy Energy Index (LEI) library provides functions to measure price movement exhaustion by analyzing three dimensions: Extension (distance from fair value), Velocity (speed of movement), and Volume (confirmation level).
LEI answers a different question than traditional momentum indicators: instead of "how far has price gone?" (like RSI), LEI asks "how tired is this move?"
This library allows Pine Script developers to integrate LEI calculations into their own indicators and strategies.
How to Import
//@version=6
indicator("My Indicator")
import OrenLuxy/LuxyEnergyIndex/1 as LEI
Main Functions
`lei(src)` → float
Returns the LEI value on a 0-100 scale.
src (optional): Price source, default is `close`
Returns : LEI value (0-100) or `na` if insufficient data (first 50 bars)
leiValue = LEI.lei()
leiValue = LEI.lei(hlc3) // custom source
`leiDetailed(src)` → tuple
Returns LEI with all component values for detailed analysis.
= LEI.leiDetailed()
Returns:
`lei` - Final LEI value (0-100)
`extension` - Distance from VWAP in ATR units
`velocity` - 5-bar price change in ATR units
`volumeZ` - Volume Z-Score
`volumeModifier` - Applied modifier (1.0 = neutral)
`vwap` - VWAP value used
Component Functions
| Function | Description | Returns |
|-----------------------------------|---------------------------------|---------------|
| `calcExtension(src, vwap)` | Distance from VWAP / ATR | float |
| `calcVelocity(src)` | 5-bar price change / ATR | float |
| `calcVolumeZ()` | Volume Z-Score | float |
| `calcVolumeModifier(volZ)` | Volume modifier | float (≥1.0) |
| `getVWAP()` | Auto-detects asset type | float |
Signal Functions
| Function | Description | Returns |
|---------------------------------------------|----------------------------------|-----------|
| `isExhausted(lei, threshold)` | LEI ≥ threshold (default 70) | bool |
| `isSafe(lei, threshold)` | LEI ≤ threshold (default 30) | bool |
| `crossedExhaustion(lei, threshold)` | Crossed into exhaustion | bool |
| `crossedSafe(lei, threshold)` | Crossed into safe zone | bool |
Utility Functions
| Function | Description | Returns |
|----------------------------|-------------------------|-----------|
| `getZone(lei)` | Zone name | string |
| `getColor(lei)` | Recommended color | color |
| `hasEnoughHistory()` | Data check | bool |
| `minBarsRequired()` | Required bars | int (50) |
| `version()` | Library version | string |
Interpretation Guide
| LEI Range | Zone | Meaning |
|-------------|--------------|--------------------------------------------------|
| 0-30 | Safe | Low exhaustion, move may continue |
| 30-50 | Caution | Moderate exhaustion |
| 50-70 | Warning | Elevated exhaustion |
| 70-100 | Exhaustion | High exhaustion, increased reversal risk |
Example: Basic Usage
//@version=6
indicator("LEI Example", overlay=false)
import OrenLuxy/LuxyEnergyIndex/1 as LEI
// Get LEI value
leiValue = LEI.lei()
// Plot with dynamic color
plot(leiValue, "LEI", LEI.getColor(leiValue), 2)
// Reference lines
hline(70, "High", color.red)
hline(30, "Low", color.green)
// Alert on exhaustion
if LEI.crossedExhaustion(leiValue) and barstate.isconfirmed
alert("LEI crossed into exhaustion zone")
Technical Details
Fixed Parameters (by design):
Velocity Period: 5 bars
Volume Period: 20 bars
Z-Score Period: 50 bars
ATR Period: 14
Extension/Velocity Weights: 50/50
Asset Support:
Stocks/Forex: Uses Session VWAP (daily reset)
Crypto: Uses Rolling VWAP (50-bar window) - auto-detected
Edge Cases:
Returns `na` until 50 bars of history
Zero volume: Volume modifier defaults to 1.0 (neutral)
Credits and Acknowledgments
This library builds upon established technical analysis concepts:
VWAP - Industry standard volume-weighted price measure
ATR by J. Welles Wilder Jr. (1978) - Volatility normalization
Z-Score - Statistical normalization method
Volume analysis principles from Volume Spread Analysis (VSA) methodology
Disclaimer
This library is provided for **educational and informational purposes only**. It does not constitute financial advice. Past performance does not guarantee future results. The exhaustion readings are probabilistic indicators, not guarantees of price reversal. Always conduct your own research and use proper risk management when trading.
MorphWave Bands [JOAT]MorphWave Bands - Adaptive Volatility Envelope System
MorphWave Bands create a dynamic price envelope that automatically adjusts its width based on current market conditions. Unlike static Bollinger Bands, this indicator blends ATR and standard deviation with an efficiency ratio to expand during trending conditions and contract during consolidation.
What This Indicator Does
Plots adaptive upper and lower bands around a customizable moving average basis
Automatically adjusts band width using a blend of ATR and standard deviation
Detects volatility squeezes when bands contract to historical lows
Highlights breakouts when price moves beyond the bands
Provides squeeze alerts for anticipating volatility expansion
Adaptive Mechanism
The bands adapt through a multi-step process:
// Blend ATR and Standard Deviation
blendedVol = useAtrBlend ? (atrVal * 0.6 + stdVal * 0.4) : stdVal
// Normalize volatility to its historical range
volNorm = (blendedVol - volLow) / (volHigh - volLow)
// Create adaptive multiplier
adaptMult = baseMult * (0.5 + volNorm * adaptSens)
This creates bands that respond to market regime changes while maintaining stability.
Squeeze Detection
A squeeze is identified when band width drops below a specified percentile of its historical range:
Background highlighting indicates active squeeze conditions
Low percentile readings suggest compressed volatility
Squeeze exits often precede directional moves
Inputs Overview
Band Length — Period for basis calculation (default: 20)
Base Multiplier — Starting band width multiplier (default: 2.0)
MA Type — Choose from SMA, EMA, WMA, VWMA, or HMA
Adaptation Lookback — Historical period for normalization (default: 50)
Adaptation Sensitivity — How much bands respond to volatility changes
Squeeze Threshold — Percentile below which squeeze is detected
Dashboard Information
Current trend direction relative to basis and bands
Band width percentage
Squeeze status (Active or None)
Efficiency ratio
Current adaptive multiplier value
How to Use It
Look for squeeze conditions as potential precursors to breakouts
Use band touches as dynamic support/resistance references
Monitor breakout signals when price closes beyond bands
Combine with momentum indicators for directional confirmation
Alerts
Upper/Lower Breakout — Price exceeds band boundaries
Squeeze Entry/Exit — Volatility compression begins or ends
Basis Crosses — Price crosses the center line
This indicator is provided for educational purposes. It does not constitute financial advice.
— Made with passion by officialjackofalltrades
(5+15+60min+1D)EMA20+Y'SH/L+count简介： 这是一个专为 5分钟图表 (5min Chart) 日内交易者设计的综合辅助工具。它结合了多周期趋势均线、美股核心交易时段的时间周期计数以及关键流动性位置（前一日高低点）的智能突破监测。该脚本针对美股个股及 24/7 交易的 BTC/ETH 进行了优化，强制锁定纽约时间进行运算。
核心功能：
1. 多周期 EMA 监控系统 (MTF EMAs)
5min EMA20 (蓝色)：日内短期趋势核心线（默认开启）。
60min EMA20 (绿色)：小时级别趋势参考（默认开启）。
15min EMA20 (红色) & 1D EMA20 (橙色)：可选开启，用于捕捉更大周期的支撑阻力。
特点：所有均线采用最细线宽，平滑显示，右上角表格实时展示当前价格。
2. 美股时段 Bar Count 计数器
时间锚定：以纽约时间 (New York Time) 09:30 开盘为起点（Bar 0）。
显示规则：仅在 K 线底部显示 偶数 序号 (0, 2, 4, 6 ...)，直至第 82 根 K 线停止。
关键时间窗 (Time Pivots)：
Bar 18 (约 NY 10:55) 和 Bar 40 (约 NY 12:45) 会被自动高亮。
字体变为 蓝色粗体，且对应 K 线实体变为蓝色，提示潜在的变盘或宏观流动性注入时刻。
3. 智能 PDH/PDL 射线 (Smart Rays)
精确锚点：前一日高点 (PDH) 和低点 (PDL) 的射线不是从开盘画起，而是从昨日形成高低点的具体时间点射出，精确还原价格行为。
自动阻断 (Breakout Logic)：一旦当前价格触碰或突破该射线，射线将自动停止延伸，直观展示“阻力/支撑已失效”。
自动清理：每日自动清除旧线，仅保留当天的参考线，保持图表整洁。
4. 视觉优化
每日分割线：自动绘制灰色虚线分隔交易日。
图表限制：脚本仅在 5分钟图表上可见，切换周期自动隐藏，避免干扰大周期分析。
设置说明：
可在设置面板中自由开关各周期 EMA 的显示。
可开关底部的计数数字显示。
English Version (for TradingView Publishing)
Title: 5min Intraday Precision Toolkit: MTF EMAs + NY Session Count + Smart Rays
Introduction: This is a comprehensive auxiliary tool designed specifically for 5-minute chart intraday traders. It combines multi-timeframe trend EMAs, time cycle counting based on the US Session, and smart breakout monitoring for key liquidity levels (Previous Day High/Low). Optimized for US Equities and Crypto (BTC/ETH) using New York Time.
Key Features:
1. Multi-Timeframe EMA System
5min EMA20 (Blue): Core short-term intraday trend (On by default).
60min EMA20 (Green): Hourly trend reference (On by default).
15min EMA20 (Red) & 1D EMA20 (Orange): Optional overlays for higher timeframe support/resistance.
Visuals: All EMAs are rendered with fine lines for a clean look, accompanied by a top-right dashboard table.
2. NY Session Bar Count
Time Anchor: Starts counting from 09:30 New York Time (Bar 0).
Display Logic: Displays only EVEN numbers (0, 2, 4...) at the bottom of the bars, stopping at count 82.
Time Pivots:
Bar 18 (~10:55 NY) and Bar 40 (~12:45 NY) are highlighted.
Labels turn Bold Blue, and the specific candles are colored Blue to indicate potential reversal or liquidity injection times.
3. Smart PDH/PDL Rays
Precise Origin: Rays for Previous Day High (PDH) and Previous Day Low (PDL) originate from the exact timestamp they were created yesterday, not just the daily open.
Breakout Stop Logic: Rays automatically stop extending once price touches or breaks them, clearly indicating that the level has been tested.
Auto-Clean: Automatically removes old rays from previous days to keep the chart clean.
4. Visual Optimization
Daily Separators: Automatic vertical dotted lines marking new days.
Visibility: All elements are hidden on non-5m charts to prevent clutter.
Settings:
Toggle visibility for individual EMAs.
Toggle visibility for the bottom bar counter.
ALT Risk Metric StrategyHere's a professional write-up for your ALT Risk Strategy script:
ALT/BTC Risk Strategy - Multi-Crypto DCA with Bitcoin Correlation Analysis
Overview
This strategy uses Bitcoin correlation as a risk indicator to time entries and exits for altcoins. By analyzing how your chosen altcoin performs relative to Bitcoin, the strategy identifies optimal accumulation periods (when alt/BTC is oversold) and profit-taking opportunities (when alt/BTC is overbought). Perfect for traders who want to outperform Bitcoin by strategically timing altcoin positions.
Key Innovation: Why Alt/BTC Matters
Most traders focus solely on USD price, but Alt/BTC ratios reveal true altcoin strength:
When Alt/BTC is low → Altcoin is undervalued relative to Bitcoin (buy opportunity)
When Alt/BTC is high → Altcoin has outperformed Bitcoin (take profits)
This approach captures the rotation between BTC and alts that drives crypto cycles
Key Features
📊 Advanced Technical Analysis
RSI (60% weight): Primary momentum indicator on weekly timeframe
Long-term MA Deviation (35% weight): Measures distance from 150-period baseline
MACD (5% weight): Minor confirmation signal
EMA Smoothing: Filters noise while maintaining responsiveness
All calculations performed on Alt/BTC pairs for superior market timing
💰 3-Tier DCA System
Level 1 (Risk ≤ 70): Conservative entry, base allocation
Level 2 (Risk ≤ 50): Increased allocation, strong opportunity
Level 3 (Risk ≤ 30): Maximum allocation, extreme undervaluation
Continuous buying: Executes every bar while below threshold for true DCA behavior
Cumulative sizing: L3 triggers = L1 + L2 + L3 amounts combined
📈 Smart Profit Management
Sequential selling: Must complete L1 before L2, L2 before L3
Percentage-based exits: Sell portions of position, not fixed amounts
Auto-reset on re-entry: New buy signals reset sell progression
Prevents premature full exits during volatile conditions
🤖 3Commas Automation
Pre-configured JSON webhooks for Custom Signal Bots
Multi-exchange support: Binance, Coinbase, Kraken, Bitfinex, Bybit
Flexible quote currency: USD, USDT, or BUSD
Dynamic order sizing: Automatically adjusts to your tier thresholds
Full webhook documentation compliance
🎨 Multi-Asset Support
Pre-configured for popular altcoins:
ETH (Ethereum)
SOL (Solana)
ADA (Cardano)
LINK (Chainlink)
UNI (Uniswap)
XRP (Ripple)
DOGE
RENDER
Custom option for any other crypto
How It Works
Risk Metric Calculation (0-100 scale):
Fetches weekly Alt/BTC price data for stability
Calculates RSI, MACD, and deviation from 150-period MA
Normalizes MACD to 0-100 range using 500-bar lookback
Combines weighted components: (MACD × 0.05) + (RSI × 0.60) + (Deviation × 0.35)
Applies 5-period EMA smoothing for cleaner signals
Color-Coded Risk Zones:
Green (0-30): Extreme buying opportunity - Alt heavily oversold vs BTC
Lime/Yellow (30-70): Accumulation range - favorable risk/reward
Orange (70-85): Caution zone - consider taking initial profits
Red/Maroon (85-100+): Euphoria zone - aggressive profit-taking
Entry Logic:
Buys execute every candle when risk is below threshold
As risk decreases, position sizing automatically scales up
Example: If risk drops from 60→25, you'll be buying at L1 rate until it hits 50, then L2 rate, then L3 rate
Exit Logic:
Sells only trigger when in profit AND risk exceeds thresholds
Sequential execution ensures partial profit-taking
If new buy signal occurs before all sells complete, sell levels reset to L1
Configuration Guide
Choosing Your Altcoin:
Select crypto from dropdown (or use CUSTOM for unlisted coins)
Pick your exchange
Choose quote currency (USD, USDT, BUSD)
Risk Metric Tuning:
Long Term MA (default 150): Higher = more extreme signals, Lower = more frequent
RSI Length (default 10): Lower = more volatile, Higher = smoother
Smoothing (default 5): Increase for less noise, decrease for faster reaction
Buy Settings (Aggressive DCA Example):
L1 Threshold: 70 | Amount: $5
L2 Threshold: 50 | Amount: $6
L3 Threshold: 30 | Amount: $7
Total L3 buy = $18 per candle when deeply oversold
Sell Settings (Balanced Exit Example):
L1: 70 threshold, 25% position
L2: 85 threshold, 35% position
L3: 100 threshold, 40% position (final exit)
3Commas Setup
Bot Configuration:
Create Custom Signal Bot in 3Commas
Set trading pair to your altcoin/USD (e.g., ETH/USD, SOL/USDT)
Order size: Select "Send in webhook, quote" to use strategy's dollar amounts
Copy Bot UUID and Secret Token
Script Configuration:
Paste credentials into 3Commas section inputs
Check "Enable 3Commas Alerts"
Save and apply to chart
TradingView Alert:
Create Alert → Condition: "alert() function calls only"
Webhook URL: api.3commas.io
Enable "Webhook URL" checkbox
Expiration: Open-ended
Strategy Advantages
✅ Outperform Bitcoin: Designed specifically to beat BTC by timing alt rotations
✅ Capture Alt Seasons: Automatically accumulates when alts lag, sells when they pump
✅ Risk-Adjusted Sizing: Buys more when cheaper (better risk/reward)
✅ Emotional Discipline: Systematic approach removes fear and FOMO
✅ Multi-Asset: Run same strategy across multiple altcoins simultaneously
✅ Proven Indicators: Combines RSI, MACD, and MA deviation - battle-tested tools
Backtesting Insights
Optimal Timeframes:
Daily chart: Best for backtesting and signal generation
Weekly data is fetched internally regardless of display timeframe
Historical Performance Characteristics:
Accumulates heavily during bear markets and BTC dominance periods
Captures explosive altcoin rallies when BTC stagnates
Sequential selling preserves capital during extended downtrends
Works best on established altcoins with multi-year history
Risk Considerations:
Requires capital reserves for extended accumulation periods
Some altcoins may never recover if fundamentals deteriorate
Past correlation patterns may not predict future performance
Always size positions according to personal risk tolerance
Visual Interface
Indicator Panel Displays:
Dynamic color line: Green→Lime→Yellow→Orange→Red as risk increases
Horizontal threshold lines: Dashed lines mark your buy/sell levels
Entry/Exit labels: Green labels for buys, Orange/Red/Maroon for sells
Real-time risk value: Numerical display on price scale
Customization:
All threshold lines are adjustable via inputs
Color scheme clearly differentiates buy zones (green spectrum) from sell zones (red spectrum)
Line weights emphasize most extreme thresholds (L3 buy and L3 sell)
Strategy Philosophy
This strategy is built on the principle that altcoins move in cycles relative to Bitcoin. During Bitcoin rallies, alts often bleed against BTC (high sell, accumulate). When Bitcoin consolidates, alts pump (take profits). By measuring risk on the Alt/BTC chart instead of USD price, we time these rotations with precision.
The 3-tier system ensures you're always averaging in at better prices and scaling out at better prices, maximizing your Bitcoin-denominated returns.
Advanced Tips
Multi-Bot Strategy:
Run this on 5-10 different altcoins simultaneously to:
Diversify correlation risk
Capture whichever alt is pumping
Smooth equity curve through rotation
Pairing with BTC Strategy:
Use alongside the BTC DCA Risk Strategy for complete portfolio coverage:
BTC strategy for core holdings
ALT strategies for alpha generation
Rebalance between them based on BTC dominance
Threshold Calibration:
Check 2-3 years of historical data for your chosen alt
Note where risk metric sat during major bottoms (set buy thresholds)
Note where it peaked during euphoria (set sell thresholds)
Adjust for your risk tolerance and holding period
Credits
Strategy Development & 3Commas Integration: Claude AI (Anthropic)
Technical Analysis Framework: RSI, MACD, Moving Average theory
Implementation: pommesUNDwurst
Disclaimer
This strategy is for educational purposes only. Cryptocurrency trading involves substantial risk of loss. Altcoins are especially volatile and many fail completely. The strategy assumes liquid markets and reliable Alt/BTC price data. Always do your own research, understand the fundamentals of any asset you trade, and never risk more than you can afford to lose. Past performance does not guarantee future results. The authors are not financial advisors and assume no liability for trading decisions.
Additional Warning: Using leverage or trading illiquid altcoins amplifies risk significantly. This strategy is designed for spot trading of established cryptocurrencies with deep liquidity.
Tags: Altcoin, Alt/BTC, DCA, Risk Metric, Dollar Cost Averaging, 3Commas, ETH, SOL, Crypto Rotation, Bitcoin Correlation, Automated Trading, Alt Season
Feel free to modify any sections to better match your style or add specific backtesting results you've observed! 🚀Claude is AI and can make mistakes. Please double-check responses. Sonnet 4.5
BTC DCA Risk Metric StrategyBTC DCA Risk Strategy - Automated Dollar Cost Averaging with 3Commas Integration
Overview
This strategy combines the proven Oakley Wood Risk Metric with an intelligent tiered Dollar Cost Averaging (DCA) system, designed to help traders systematically accumulate Bitcoin during periods of low risk and take profits during high-risk conditions.
Key Features
📊 Multi-Component Risk Assessment
4-Year SMA Deviation: Measures Bitcoin's distance from its long-term mean
20-Week MA Analysis: Tracks medium-term momentum shifts
50-Day/50-Week MA Ratio: Captures short-to-medium term trend strength
All metrics are normalized by time to account for Bitcoin's maturing market dynamics
💰 3-Tier DCA Buy System
Level 1 (Low Risk): Conservative entry with base allocation
Level 2 (Lower Risk): Increased allocation as opportunity improves
Level 3 (Extreme Low Risk): Maximum allocation during rare buying opportunities
Buys execute every bar while risk remains below thresholds, enabling true DCA accumulation
📈 Progressive Profit Taking
Sell Level 1: Take initial profits as risk increases
Sell Level 2: Scale out further positions during elevated risk
Sell Level 3: Final exit during extreme market conditions
Sell levels automatically reset when new buy signals occur, allowing flexible re-entry
🤖 3Commas Integration
Fully automated webhook alerts for Custom Signal Bots
JSON payloads formatted per 3Commas API specifications
Supports multiple exchanges (Binance, Coinbase, Kraken, Gemini, Bybit)
Configurable quote currency (USD, USDT, BUSD)
How It Works
The strategy calculates a composite risk metric (0-1 scale):
0.0-0.2: Extreme buying opportunity (green zone)
0.2-0.5: Favorable accumulation range (yellow zone)
0.5-0.8: Neutral to cautious territory (orange zone)
0.8-1.0+: High risk, profit-taking zone (red zone)
Buy Logic: As risk decreases, position sizes increase automatically. If risk drops from L1 to L3 threshold, the strategy combines all three tier allocations for maximum exposure.
Sell Logic: Sequential profit-taking ensures you capture gains progressively. The system won't advance to Sell L2 until L1 completes, preventing premature full exits.
Configuration
Risk Metric Parameters:
All calculations use Bitcoin price data (any BTC chart works)
Time-normalized formulas adapt to market maturity
No manual parameter tuning required
Buy Settings:
Set risk thresholds for each tier (default: 0.20, 0.10, 0.00)
Define dollar amounts per tier (default: $10, $15, $20)
Fully customizable to your risk tolerance and capital
Sell Settings:
Configure risk thresholds for profit-taking (default: 1.00, 1.50, 2.00)
Set percentage of position to sell at each level (default: 25%, 35%, 40%)
3Commas Setup:
Create a Custom Signal Bot in 3Commas
Copy Bot UUID and Secret Token into strategy inputs
Enable 3Commas Alerts checkbox
Create TradingView alert: Condition → "alert() function calls only", Webhook → api.3commas.io
Backtesting Results
Strengths:
Systematically buys dips without emotion
Averages down during extended bear markets
Captures explosive bull run profits through tiered exits
Pyramiding (1000 max orders) allows true DCA behavior
Considerations:
Requires sufficient capital for multiple buys during prolonged downtrends
Backtest on Daily timeframe for most reliable signals
Past performance does not guarantee future results
Visual Design
The indicator pane displays:
Color-coded risk metric line: Changes from white→red→orange→yellow→green as risk decreases
Background zones: Green (buy), yellow (hold), red (sell) areas
Dashed threshold lines: Clear visual markers for each buy/sell level
Entry/Exit labels: Green buy labels and orange/red sell labels mark all trades
Credits
Original Risk Metric: Oakley Wood
Strategy Development & 3Commas Integration: Claude AI (Anthropic)
Modifications: pommesUNDwurst
Disclaimer
This strategy is for educational and informational purposes only. Cryptocurrency trading carries substantial risk of loss. Always conduct your own research and never invest more than you can afford to lose. The authors are not financial advisors and assume no responsibility for trading decisions made using this tool.
